Overview

Brought to you by YData

Dataset statistics

Number of variables645
Number of observations2380047
Missing cells1091445705
Missing cells (%)71.1%
Total size in memory11.4 GiB
Average record size in memory5.0 KiB

Variable types

Numeric602
Text21
Unsupported22

Alerts

COLGHOUS has constant value "1.0" Constant
STATERES has constant value "1.0" Constant
RCSRACE1 has constant value "b''" Constant
RCHISLA1 has constant value "b''" Constant
TYPEINDS has constant value "b''" Constant
TYPEWORK has constant value "b''" Constant
CTELENUM has 186872 (7.9%) missing values Missing
PVTRESD1 has 1466755 (61.6%) missing values Missing
COLGHOUS has 2379834 (> 99.9%) missing values Missing
STATERES has 1469874 (61.8%) missing values Missing
CELLFON3 has 1768837 (74.3%) missing values Missing
LADULT has 2360266 (99.2%) missing values Missing
NUMADULT has 654595 (27.5%) missing values Missing
NUMMEN has 654716 (27.5%) missing values Missing
NUMWOMEN has 654717 (27.5%) missing values Missing
CTELNUM1 has 1725543 (72.5%) missing values Missing
CELLFON2 has 1725515 (72.5%) missing values Missing
CADULT has 1725515 (72.5%) missing values Missing
PVTRESD2 has 1725514 (72.5%) missing values Missing
CCLGHOUS has 2375715 (99.8%) missing values Missing
CSTATE has 1722404 (72.4%) missing values Missing
LANDLINE has 1726572 (72.5%) missing values Missing
HHADULT has 2038462 (85.6%) missing values Missing
POORHLTH has 1149594 (48.3%) missing values Missing
BPHIGH4 has 940364 (39.5%) missing values Missing
BPMEDS has 1801576 (75.7%) missing values Missing
BLOODCHO has 940351 (39.5%) missing values Missing
CHOLCHK has 1138070 (47.8%) missing values Missing
TOLDHI2 has 1138070 (47.8%) missing values Missing
ASTHNOW has 2066138 (86.8%) missing values Missing
CHCCOPD1 has 506480 (21.3%) missing values Missing
DIABAGE2 has 2177120 (91.5%) missing values Missing
NUMHHOL2 has 663322 (27.9%) missing values Missing
NUMPHON2 has 2296229 (96.5%) missing values Missing
CPDEMO1 has 663803 (27.9%) missing values Missing
EMPLOY1 has 985239 (41.4%) missing values Missing
INTERNET has 997697 (41.9%) missing values Missing
PREGNANT has 2011088 (84.5%) missing values Missing
QLACTLM2 has 60492 (2.5%) missing values Missing
USEEQUIP has 64638 (2.7%) missing values Missing
BLIND has 1017398 (42.7%) missing values Missing
DECIDE has 1019151 (42.8%) missing values Missing
DIFFWALK has 1020763 (42.9%) missing values Missing
DIFFDRES has 1021805 (42.9%) missing values Missing
DIFFALON has 1023362 (43.0%) missing values Missing
SMOKE100 has 50567 (2.1%) missing values Missing
SMOKDAY2 has 1340643 (56.3%) missing values Missing
STOPSMK2 has 2014870 (84.7%) missing values Missing
LASTSMK2 has 1707912 (71.8%) missing values Missing
USENOW3 has 52607 (2.2%) missing values Missing
ALCDAY5 has 84101 (3.5%) missing values Missing
AVEDRNK2 has 1241557 (52.2%) missing values Missing
DRNK3GE5 has 1243227 (52.2%) missing values Missing
MAXDRNKS has 1244871 (52.3%) missing values Missing
FRUITJU1 has 957575 (40.2%) missing values Missing
FRUIT1 has 960709 (40.4%) missing values Missing
FVBEANS has 964100 (40.5%) missing values Missing
FVGREEN has 966838 (40.6%) missing values Missing
FVORANG has 969047 (40.7%) missing values Missing
VEGETAB1 has 971961 (40.8%) missing values Missing
EXERANY2 has 87497 (3.7%) missing values Missing
EXRACT11 has 1752119 (73.6%) missing values Missing
EXEROFT1 has 1404978 (59.0%) missing values Missing
EXERHMM1 has 1406740 (59.1%) missing values Missing
EXRACT21 has 1757137 (73.8%) missing values Missing
EXEROFT2 has 1751140 (73.6%) missing values Missing
EXERHMM2 has 1754641 (73.7%) missing values Missing
STRENGTH has 1036549 (43.6%) missing values Missing
LMTJOIN3 has 1927289 (81.0%) missing values Missing
ARTHDIS2 has 1927744 (81.0%) missing values Missing
ARTHSOCL has 1928323 (81.0%) missing values Missing
JOINPAIN has 1934866 (81.3%) missing values Missing
SEATBELT has 139316 (5.9%) missing values Missing
FLUSHOT6 has 1082462 (45.5%) missing values Missing
FLSHTMY2 has 1358236 (57.1%) missing values Missing
IMFVPLAC has 1724684 (72.5%) missing values Missing
PNEUVAC3 has 141691 (6.0%) missing values Missing
HIVTST6 has 165813 (7.0%) missing values Missing
HIVTSTD3 has 1754536 (73.7%) missing values Missing
WHRTST10 has 2017928 (84.8%) missing values Missing
PDIABTST has 1448339 (60.9%) missing values Missing
PREDIAB1 has 1448676 (60.9%) missing values Missing
INSULIN has 2240453 (94.1%) missing values Missing
BLDSUGAR has 2240449 (94.1%) missing values Missing
FEETCHK2 has 2240454 (94.1%) missing values Missing
DOCTDIAB has 2240459 (94.1%) missing values Missing
CHKHEMO3 has 2240463 (94.1%) missing values Missing
FEETCHK has 2241466 (94.2%) missing values Missing
EYEEXAM has 2240471 (94.1%) missing values Missing
DIABEYE has 2240478 (94.1%) missing values Missing
DIABEDU has 2240478 (94.1%) missing values Missing
PAINACT2 has 2360935 (99.2%) missing values Missing
QLMENTL2 has 2360959 (99.2%) missing values Missing
QLSTRES2 has 2360974 (99.2%) missing values Missing
QLHLTH2 has 2361006 (99.2%) missing values Missing
CAREGIV1 has 2271052 (95.4%) missing values Missing
CRGVREL1 has 2356027 (99.0%) missing values Missing
CRGVLNG1 has 2356052 (99.0%) missing values Missing
CRGVHRS1 has 2356084 (99.0%) missing values Missing
CRGVPRB1 has 2356115 (99.0%) missing values Missing
CRGVPERS has 2356145 (99.0%) missing values Missing
CRGVHOUS has 2356162 (99.0%) missing values Missing
CRGVMST2 has 2356225 (99.0%) missing values Missing
CRGVEXPT has 2295360 (96.4%) missing values Missing
VIDFCLT2 has 2362398 (99.3%) missing values Missing
VIREDIF3 has 2376859 (99.9%) missing values Missing
VIPRFVS2 has 2362424 (99.3%) missing values Missing
VINOCRE2 has 2372875 (99.7%) missing values Missing
VIEYEXM2 has 2364458 (99.3%) missing values Missing
VIINSUR2 has 2362442 (99.3%) missing values Missing
VICTRCT4 has 2362446 (99.3%) missing values Missing
VIGLUMA2 has 2362450 (99.3%) missing values Missing
VIMACDG2 has 2362455 (99.3%) missing values Missing
CIMEMLOS has 2217863 (93.2%) missing values Missing
CDHOUSE has 2366791 (99.4%) missing values Missing
CDASSIST has 2366806 (99.4%) missing values Missing
CDHELP has 2375721 (99.8%) missing values Missing
CDSOCIAL has 2366829 (99.4%) missing values Missing
CDDISCUS has 2366846 (99.4%) missing values Missing
WTCHSALT has 2184770 (91.8%) missing values Missing
LONGWTCH has 2266954 (95.2%) missing values Missing
DRADVISE has 2184897 (91.8%) missing values Missing
ASTHMAGE has 2371752 (99.7%) missing values Missing
ASATTACK has 2374318 (99.8%) missing values Missing
ASERVIST has 2377399 (99.9%) missing values Missing
ASDRVIST has 2377403 (99.9%) missing values Missing
ASRCHKUP has 2374330 (99.8%) missing values Missing
ASACTLIM has 2374338 (99.8%) missing values Missing
ASYMPTOM has 2374353 (99.8%) missing values Missing
ASNOSLEP has 2375867 (99.8%) missing values Missing
ASTHMED3 has 2374372 (99.8%) missing values Missing
ASINHALR has 2374384 (99.8%) missing values Missing
HAREHAB1 has 2368013 (99.5%) missing values Missing
STREHAB1 has 2371336 (99.6%) missing values Missing
CVDASPRN has 2183823 (91.8%) missing values Missing
ASPUNSAF has 2250262 (94.5%) missing values Missing
RLIVPAIN has 2328762 (97.8%) missing values Missing
RDUCHART has 2328764 (97.8%) missing values Missing
RDUCSTRK has 2328767 (97.8%) missing values Missing
ARTTODAY has 2322825 (97.6%) missing values Missing
ARTHWGT has 2322848 (97.6%) missing values Missing
ARTHEXER has 2322856 (97.6%) missing values Missing
ARTHEDU has 2322885 (97.6%) missing values Missing
TETANUS has 1850434 (77.7%) missing values Missing
HPVADVC2 has 2306324 (96.9%) missing values Missing
HPVADSHT has 2372926 (99.7%) missing values Missing
SHINGLE2 has 2056877 (86.4%) missing values Missing
HADMAM has 1794614 (75.4%) missing values Missing
HOWLONG has 1915759 (80.5%) missing values Missing
HADPAP2 has 1795661 (75.4%) missing values Missing
LASTPAP2 has 1832478 (77.0%) missing values Missing
HPVTEST has 2339707 (98.3%) missing values Missing
HPLSTTST has 2368961 (99.5%) missing values Missing
HADHYST2 has 1801854 (75.7%) missing values Missing
PROFEXAM has 1812328 (76.1%) missing values Missing
LENGEXAM has 1871394 (78.6%) missing values Missing
BLDSTOOL has 1663514 (69.9%) missing values Missing
LSTBLDS3 has 2115940 (88.9%) missing values Missing
HADSIGM3 has 1664441 (69.9%) missing values Missing
HADSGCO1 has 1877169 (78.9%) missing values Missing
LASTSIG3 has 1877401 (78.9%) missing values Missing
PCPSAAD2 has 2228382 (93.6%) missing values Missing
PCPSADI1 has 2086166 (87.7%) missing values Missing
PCPSARE1 has 2086409 (87.7%) missing values Missing
PSATEST1 has 2087104 (87.7%) missing values Missing
PSATIME has 2204371 (92.6%) missing values Missing
PCPSARS1 has 2206239 (92.7%) missing values Missing
PCPSADE1 has 2377245 (99.9%) missing values Missing
PCDMDECN has 971131 (40.8%) missing values Missing
SCNTMNY1 has 2292830 (96.3%) missing values Missing
SCNTMEL1 has 2288098 (96.1%) missing values Missing
SCNTPAID has 2257459 (94.8%) missing values Missing
SCNTWRK1 has 2257516 (94.9%) missing values Missing
SCNTLPAD has 2296940 (96.5%) missing values Missing
SCNTLWK1 has 2267368 (95.3%) missing values Missing
SXORIENT has 2059810 (86.5%) missing values Missing
TRNSGNDR has 2059078 (86.5%) missing values Missing
RCSGENDR has 2053739 (86.3%) missing values Missing
RCSRLTN2 has 2054609 (86.3%) missing values Missing
CASTHDX2 has 2078318 (87.3%) missing values Missing
CASTHNO2 has 2339911 (98.3%) missing values Missing
EMTSUPRT has 2332692 (98.0%) missing values Missing
LSATISFY has 2332712 (98.0%) missing values Missing
ADPLEASR has 2345061 (98.5%) missing values Missing
ADDOWN has 2345088 (98.5%) missing values Missing
ADSLEEP has 2345101 (98.5%) missing values Missing
ADENERGY has 2345109 (98.5%) missing values Missing
ADEAT1 has 2345123 (98.5%) missing values Missing
ADFAIL has 2345136 (98.5%) missing values Missing
ADTHINK has 2345153 (98.5%) missing values Missing
ADMOVE has 2345172 (98.5%) missing values Missing
MISTMNT has 2213836 (93.0%) missing values Missing
ADANXEV has 2345202 (98.5%) missing values Missing
EXACTOT1 has 1938591 (81.5%) missing values Missing
EXACTOT2 has 1938591 (81.5%) missing values Missing
MSCODE has 680253 (28.6%) missing values Missing
_CHISPNC has 1360239 (57.2%) missing values Missing
_CRACE1 has 2162390 (90.9%) missing values Missing
_CPRACE has 2239084 (94.1%) missing values Missing
_CLLCPWT has 2056408 (86.4%) missing values Missing
_DUALUSE has 506467 (21.3%) missing values Missing
_DUALCOR has 1689121 (71.0%) missing values Missing
_RFHYPE5 has 940351 (39.5%) missing values Missing
_CHOLCHK has 940351 (39.5%) missing values Missing
_RFCHOL has 1138069 (47.8%) missing values Missing
_MICHD has 1942533 (81.6%) missing values Missing
_PRACE1 has 982326 (41.3%) missing values Missing
_MRACE1 has 982355 (41.3%) missing values Missing
_HISPANC has 982154 (41.3%) missing values Missing
_RACE has 982273 (41.3%) missing values Missing
_RACEG21 has 982273 (41.3%) missing values Missing
_RACEGR3 has 982273 (41.3%) missing values Missing
_RACE_G1 has 1006068 (42.3%) missing values Missing
_AGE80 has 982154 (41.3%) missing values Missing
HTIN4 has 57792 (2.4%) missing values Missing
HTM4 has 49314 (2.1%) missing values Missing
WTKG3 has 117954 (5.0%) missing values Missing
_BMI5 has 146916 (6.2%) missing values Missing
_BMI5CAT has 146916 (6.2%) missing values Missing
_DRNKWEK has 1938591 (81.5%) missing values Missing
_RFDRHV5 has 1938591 (81.5%) missing values Missing
FTJUDA1_ has 1042813 (43.8%) missing values Missing
FRUTDA1_ has 1034943 (43.5%) missing values Missing
BEANDAY_ has 1045464 (43.9%) missing values Missing
GRENDAY_ has 1038594 (43.6%) missing values Missing
ORNGDAY_ has 1042633 (43.8%) missing values Missing
VEGEDA1_ has 1049427 (44.1%) missing values Missing
_MISFRTN has 940351 (39.5%) missing values Missing
_MISVEGN has 940351 (39.5%) missing values Missing
_FRTRESP has 940351 (39.5%) missing values Missing
_VEGRESP has 940351 (39.5%) missing values Missing
_FRUTSUM has 1044224 (43.9%) missing values Missing
_VEGESUM has 1060986 (44.6%) missing values Missing
_FRTLT1 has 1446818 (60.8%) missing values Missing
_VEGLT1 has 1446818 (60.8%) missing values Missing
_FRT16 has 940351 (39.5%) missing values Missing
_VEG23 has 940351 (39.5%) missing values Missing
_FRUITEX has 940351 (39.5%) missing values Missing
_VEGETEX has 940351 (39.5%) missing values Missing
METVL11_ has 1754689 (73.7%) missing values Missing
METVL21_ has 1764752 (74.1%) missing values Missing
MAXVO2_ has 940351 (39.5%) missing values Missing
FC60_ has 940351 (39.5%) missing values Missing
ACTIN11_ has 1760626 (74.0%) missing values Missing
ACTIN21_ has 1770489 (74.4%) missing values Missing
PADUR1_ has 1424958 (59.9%) missing values Missing
PADUR2_ has 1767873 (74.3%) missing values Missing
PAFREQ1_ has 1413599 (59.4%) missing values Missing
PAFREQ2_ has 1757812 (73.9%) missing values Missing
_MINAC11 has 1772436 (74.5%) missing values Missing
_MINAC21 has 1779359 (74.8%) missing values Missing
STRFREQ_ has 1052998 (44.2%) missing values Missing
PAMISS1_ has 1446818 (60.8%) missing values Missing
PAMIN11_ has 1777977 (74.7%) missing values Missing
PAMIN21_ has 1784861 (75.0%) missing values Missing
PA1MIN_ has 1765150 (74.2%) missing values Missing
PAVIG11_ has 1768187 (74.3%) missing values Missing
PAVIG21_ has 1777600 (74.7%) missing values Missing
PA1VIGM_ has 1762435 (74.1%) missing values Missing
_PACAT1 has 1446818 (60.8%) missing values Missing
_PAINDX1 has 1446818 (60.8%) missing values Missing
_PA150R2 has 1446818 (60.8%) missing values Missing
_PA300R2 has 1446818 (60.8%) missing values Missing
_PA30021 has 1446818 (60.8%) missing values Missing
_PASTRNG has 940351 (39.5%) missing values Missing
_PAREC1 has 1446818 (60.8%) missing values Missing
_PASTAE1 has 1446818 (60.8%) missing values Missing
_LMTACT1 has 1452596 (61.0%) missing values Missing
_LMTWRK1 has 1452596 (61.0%) missing values Missing
_LMTSCL1 has 1452596 (61.0%) missing values Missing
_FLSHOT6 has 1891894 (79.5%) missing values Missing
_PNEUMO2 has 1569279 (65.9%) missing values Missing
_AIDTST3 has 165813 (7.0%) missing values Missing
SLEPTIM1 has 1423610 (59.8%) missing values Missing
LASTDEN3 has 1439696 (60.5%) missing values Missing
RMVTETH3 has 1439696 (60.5%) missing values Missing
FALL12MN has 1720640 (72.3%) missing values Missing
FALLINJ2 has 2193788 (92.2%) missing values Missing
DRNKDRI2 has 1923018 (80.8%) missing values Missing
MEDICARE has 1764403 (74.1%) missing values Missing
HLTHCVR1 has 2073968 (87.1%) missing values Missing
DELAYMED has 1705213 (71.6%) missing values Missing
DLYOTHER has 1423610 (59.8%) missing values Missing
NOCOV121 has 1769180 (74.3%) missing values Missing
LSTCOVRG has 2315936 (97.3%) missing values Missing
DRVISITS has 1705061 (71.6%) missing values Missing
MEDSCOST has 1705081 (71.6%) missing values Missing
CARERCVD has 1705097 (71.6%) missing values Missing
MEDBILL1 has 2048307 (86.1%) missing values Missing
ASBIALCH has 2295846 (96.5%) missing values Missing
ASBIDRNK has 2295886 (96.5%) missing values Missing
ASBIBING has 2295932 (96.5%) missing values Missing
ASBIADVC has 2299104 (96.6%) missing values Missing
ASBIRDUC has 2316123 (97.3%) missing values Missing
CNCRDIFF has 2365574 (99.4%) missing values Missing
CNCRAGE has 2365813 (99.4%) missing values Missing
CNCRTYP1 has 2365901 (99.4%) missing values Missing
CSRVTRT1 has 2366129 (99.4%) missing values Missing
CSRVDOC1 has 2370056 (99.6%) missing values Missing
CSRVSUM has 2370061 (99.6%) missing values Missing
CSRVRTRN has 2370067 (99.6%) missing values Missing
CSRVINST has 2373261 (99.7%) missing values Missing
CSRVINSR has 2370105 (99.6%) missing values Missing
CSRVDEIN has 2370081 (99.6%) missing values Missing
CSRVCLIN has 2370084 (99.6%) missing values Missing
CSRVPAIN has 2370084 (99.6%) missing values Missing
CSRVCTL1 has 2379364 (> 99.9%) missing values Missing
RRCLASS2 has 2325349 (97.7%) missing values Missing
RRCOGNT2 has 2325383 (97.7%) missing values Missing
RRATWRK2 has 2351143 (98.8%) missing values Missing
RRHCARE3 has 2325466 (97.7%) missing values Missing
RRPHYSM2 has 2325524 (97.7%) missing values Missing
RREMTSM2 has 2325557 (97.7%) missing values Missing
SCNTVOT1 has 2301504 (96.7%) missing values Missing
_IMPRACE has 441456 (18.5%) missing values Missing
_IMPNPH has 909179 (38.2%) missing values Missing
_IMPCAGE has 2227223 (93.6%) missing values Missing
_IMPCRAC has 2227220 (93.6%) missing values Missing
_IMPCSEX has 2227220 (93.6%) missing values Missing
_LLCPWT2 has 1423610 (59.8%) missing values Missing
_EXTETH2 has 1439696 (60.5%) missing values Missing
_ALTETH2 has 2058158 (86.5%) missing values Missing
_DENVST2 has 1439696 (60.5%) missing values Missing
_DRNKDY4 has 441463 (18.5%) missing values Missing
_DRNKMO4 has 441456 (18.5%) missing values Missing
_RFDRHV4 has 441456 (18.5%) missing values Missing
_RFDRMN4 has 1595253 (67.0%) missing values Missing
_RFDRWM4 has 1226250 (51.5%) missing values Missing
_RFMAM2Y has 1930482 (81.1%) missing values Missing
_MAM502Y has 2005124 (84.2%) missing values Missing
_MAM5021 has 2249956 (94.5%) missing values Missing
_RFPAP32 has 2004297 (84.2%) missing values Missing
_RFPAP33 has 2257199 (94.8%) missing values Missing
_RFPSA21 has 2099409 (88.2%) missing values Missing
_RFBLDS2 has 1789779 (75.2%) missing values Missing
_RFBLDS3 has 2154847 (90.5%) missing values Missing
_RFSIGM2 has 1790511 (75.2%) missing values Missing
_COL10YR has 2159728 (90.7%) missing values Missing
_HFOB3YR has 2154847 (90.5%) missing values Missing
_FS5YR has 2271752 (95.4%) missing values Missing
_FOBTFS has 2176413 (91.4%) missing values Missing
_CRCREC has 2158671 (90.7%) missing values Missing
_IMPEDUC has 1423610 (59.8%) missing values Missing
_IMPMRTL has 1423610 (59.8%) missing values Missing
_IMPHOME has 1423610 (59.8%) missing values Missing
RCSBRAC1 has 2380047 (100.0%) missing values Missing
RCSRACE1 has 1423610 (59.8%) missing values Missing
RCHISLA1 has 1423610 (59.8%) missing values Missing
RCSBIRTH has 441456 (18.5%) missing values Missing
CPDEMO4 has 1474794 (62.0%) missing values Missing
HLTHCVRG has 1888274 (79.3%) missing values Missing
MEDBILLS has 2036852 (85.6%) missing values Missing
SSBSUGAR has 2250469 (94.6%) missing values Missing
SSBFRUT2 has 2276527 (95.7%) missing values Missing
MISNERVS has 2248250 (94.5%) missing values Missing
MISHOPLS has 2248315 (94.5%) missing values Missing
MISRSTLS has 2248373 (94.5%) missing values Missing
MISDEPRD has 2248420 (94.5%) missing values Missing
MISEFFRT has 2248478 (94.5%) missing values Missing
MISWTLES has 2248546 (94.5%) missing values Missing
MISNOWRK has 2248633 (94.5%) missing values Missing
MISTRHLP has 2249130 (94.5%) missing values Missing
MISPHLPF has 2249245 (94.5%) missing values Missing
SCNTMONY has 2231848 (93.8%) missing values Missing
SCNTMEAL has 2223672 (93.4%) missing values Missing
PCTCELL has 2332921 (98.0%) missing values Missing
TYPEINDS has 1888274 (79.3%) missing values Missing
TYPEWORK has 1888274 (79.3%) missing values Missing
_GEOSTR has 1397893 (58.7%) missing values Missing
_DENSTR2 has 1397893 (58.7%) missing values Missing
PRECALL has 1397893 (58.7%) missing values Missing
REPNUM has 1397893 (58.7%) missing values Missing
REPDEPTH has 1397893 (58.7%) missing values Missing
INTVID has 1397893 (58.7%) missing values Missing
NATTMPTS has 1397893 (58.7%) missing values Missing
NRECSEL has 1397893 (58.7%) missing values Missing
NRECSTR has 1397893 (58.7%) missing values Missing
PVTRESID has 1567830 (65.9%) missing values Missing
CELLFON has 1567838 (65.9%) missing values Missing
CHCVISN1 has 1904362 (80.0%) missing values Missing
AGE has 1397894 (58.7%) missing values Missing
HISPANC2 has 1397893 (58.7%) missing values Missing
MRACE has 1397893 (58.7%) missing values Missing
ORACE2 has 2359732 (99.1%) missing values Missing
EMPLOY has 1398887 (58.8%) missing values Missing
CTYCODE1 has 1467968 (61.7%) missing values Missing
FLUSHOT5 has 1435971 (60.3%) missing values Missing
PCPSAAD1 has 2237599 (94.0%) missing values Missing
HIVRISK3 has 1457507 (61.2%) missing values Missing
VIREDIF2 has 2365608 (99.4%) missing values Missing
SSBSUGR1 has 2263130 (95.1%) missing values Missing
SSBFRUT1 has 2263217 (95.1%) missing values Missing
SSBCALRI has 2240233 (94.1%) missing values Missing
NUMBURN2 has 2338410 (98.3%) missing values Missing
QLREST2 has 2331377 (98.0%) missing values Missing
SLEPTIME has 2331399 (98.0%) missing values Missing
SLEPSNOR has 2331408 (98.0%) missing values Missing
SLEPDAY has 2331424 (98.0%) missing values Missing
SLEPDRIV has 2331446 (98.0%) missing values Missing
WRKHCF1 has 2380047 (100.0%) missing values Missing
DIRCONT1 has 2380047 (100.0%) missing values Missing
DRHPAD1 has 2380047 (100.0%) missing values Missing
HAVHPAD has 2380047 (100.0%) missing values Missing
SHINGLE1 has 2352415 (98.8%) missing values Missing
TNSARCV has 2345538 (98.6%) missing values Missing
TNSARCNT has 2355221 (99.0%) missing values Missing
TNSASHT1 has 2359348 (99.1%) missing values Missing
PCPSADEC has 2374286 (99.8%) missing values Missing
GPWELPR3 has 2363181 (99.3%) missing values Missing
GP3DYWTR has 2363201 (99.3%) missing values Missing
GP3DYFD1 has 2363205 (99.3%) missing values Missing
GP3DYPRS has 2363209 (99.3%) missing values Missing
GPBATRAD has 2363213 (99.3%) missing values Missing
GPFLSLIT has 2363218 (99.3%) missing values Missing
GPEMRCM1 has 2363226 (99.3%) missing values Missing
GPEMRIN1 has 2363236 (99.3%) missing values Missing
GPVACPL1 has 2363243 (99.3%) missing values Missing
GPMNDEVC has 2363254 (99.3%) missing values Missing
GPNOTEV1 has 2377762 (99.9%) missing values Missing
VHCOMBAT has 2377880 (99.9%) missing values Missing
VHDRPTSD has 2377880 (99.9%) missing values Missing
VHDRTBI has 2377880 (99.9%) missing values Missing
VHCOUNSL has 2377881 (99.9%) missing values Missing
VHTAKLIF has 2377890 (99.9%) missing values Missing
VHSUICID has 2379948 (> 99.9%) missing values Missing
COPDTEST has 2366619 (99.4%) missing values Missing
COPDQOL has 2366624 (99.4%) missing values Missing
COPDDOC has 2366628 (99.4%) missing values Missing
COPDHOSP has 2366632 (99.4%) missing values Missing
COPDMEDS has 2366643 (99.4%) missing values Missing
ACEDEPRS has 2298698 (96.6%) missing values Missing
ACEDRINK has 2298748 (96.6%) missing values Missing
ACEDRUGS has 2298761 (96.6%) missing values Missing
ACEPRISN has 2298767 (96.6%) missing values Missing
ACEDIVRC has 2298772 (96.6%) missing values Missing
ACEPUNCH has 2298789 (96.6%) missing values Missing
ACEHURT has 2298804 (96.6%) missing values Missing
ACESWEAR has 2298829 (96.6%) missing values Missing
ACETOUCH has 2298842 (96.6%) missing values Missing
ACETTHEM has 2298873 (96.6%) missing values Missing
ACEHVSEX has 2298909 (96.6%) missing values Missing
RCHISLAT has 2256045 (94.8%) missing values Missing
RCSRACE has 1397893 (58.7%) missing values Missing
RCSBRACE has 2373738 (99.7%) missing values Missing
FLUSHCH2 has 2344026 (98.5%) missing values Missing
RCVFVCH4 has 1397893 (58.7%) missing values Missing
WHRTST8 has 2373416 (99.7%) missing values Missing
HIVRDTST has 2379009 (> 99.9%) missing values Missing
CALLBACK has 2288023 (96.1%) missing values Missing
ADLTCHLD has 1984585 (83.4%) missing values Missing
RSPSTATE has 2367496 (99.5%) missing values Missing
_RAW has 1567834 (65.9%) missing values Missing
_WT2 has 1397901 (58.7%) missing values Missing
_REGION has 1397893 (58.7%) missing values Missing
_IMPAGE has 1397893 (58.7%) missing values Missing
O_STATE has 1397893 (58.7%) missing values Missing
CRACEORG has 1904360 (80.0%) missing values Missing
CRACEASC has 2208521 (92.8%) missing values Missing
_CRACE has 2208521 (92.8%) missing values Missing
_RAWCH has 2208378 (92.8%) missing values Missing
_WT2CH has 2208378 (92.8%) missing values Missing
CHILDAGE has 2207145 (92.7%) missing values Missing
_CLCPM01 has 2259896 (95.0%) missing values Missing
_CLCPM02 has 2259896 (95.0%) missing values Missing
_CLCPM03 has 2259896 (95.0%) missing values Missing
_CLCPM04 has 2259896 (95.0%) missing values Missing
_CLCPM05 has 2259896 (95.0%) missing values Missing
_LLCPM01 has 1397893 (58.7%) missing values Missing
_LLCPM02 has 1397893 (58.7%) missing values Missing
_LLCPM03 has 1397893 (58.7%) missing values Missing
_LLCPM04 has 1397893 (58.7%) missing values Missing
_LLCPM05 has 1397893 (58.7%) missing values Missing
_LLCPM06 has 1397893 (58.7%) missing values Missing
_LLCPM07 has 1397893 (58.7%) missing values Missing
_LLCPM08 has 1397893 (58.7%) missing values Missing
_LLCPM09 has 1803815 (75.8%) missing values Missing
_LLCPM10 has 1803815 (75.8%) missing values Missing
_LLCPM11 has 1803815 (75.8%) missing values Missing
_LLCPM12 has 1803815 (75.8%) missing values Missing
MRACEORG has 1397893 (58.7%) missing values Missing
MRACEASC has 1398207 (58.7%) missing values Missing
_PRACE has 1398319 (58.8%) missing values Missing
_MRACE has 1398208 (58.7%) missing values Missing
RACE2 has 1398124 (58.7%) missing values Missing
_RACEG2 has 1398124 (58.7%) missing values Missing
_RACEGR2 has 1398124 (58.7%) missing values Missing
_RACE_G has 1410286 (59.3%) missing values Missing
_CNRACE has 1397893 (58.7%) missing values Missing
_CNRACEC has 1437505 (60.4%) missing values Missing
_FLSHOT5 has 2057432 (86.4%) missing values Missing
CHCCOPD has 1874707 (78.8%) missing values Missing
CHCVISON has 1874706 (78.8%) missing values Missing
CPDEMO2 has 2291278 (96.3%) missing values Missing
CPDEMO3 has 2050020 (86.1%) missing values Missing
EXRACT01 has 2027048 (85.2%) missing values Missing
EXRACT02 has 2030110 (85.3%) missing values Missing
SSBFRUIT has 2354078 (98.9%) missing values Missing
PFPPREPR has 2376641 (99.9%) missing values Missing
PFPPRGNT has 2376644 (99.9%) missing values Missing
PFPPRVNT has 2376646 (99.9%) missing values Missing
TYPCNTR6 has 2378474 (99.9%) missing values Missing
NOBCUSE4 has 2378542 (99.9%) missing values Missing
FPCHLDF2 has 2377532 (99.9%) missing values Missing
PFPVITMN has 2377519 (99.9%) missing values Missing
VIDFCLT3 has 2380047 (100.0%) missing values Missing
VIPRFVS3 has 2380047 (100.0%) missing values Missing
VINOCRE3 has 2380047 (100.0%) missing values Missing
VIEYEXM3 has 2380047 (100.0%) missing values Missing
VIINSUR3 has 2380047 (100.0%) missing values Missing
VICTRCT3 has 2380047 (100.0%) missing values Missing
VIGLUMA3 has 2380047 (100.0%) missing values Missing
VIMACDG3 has 2380047 (100.0%) missing values Missing
BPEATHBT has 2348923 (98.7%) missing values Missing
BPSALT has 2348931 (98.7%) missing values Missing
BPALCHOL has 2348934 (98.7%) missing values Missing
BPEXER has 2348939 (98.7%) missing values Missing
BPEATADV has 2348953 (98.7%) missing values Missing
BPSLTADV has 2348952 (98.7%) missing values Missing
BPALCADV has 2348959 (98.7%) missing values Missing
BPEXRADV has 2348962 (98.7%) missing values Missing
BPMEDADV has 2348968 (98.7%) missing values Missing
BPHI2MR has 2348986 (98.7%) missing values Missing
HASYMP1 has 2355980 (99.0%) missing values Missing
HASYMP2 has 2355991 (99.0%) missing values Missing
HASYMP3 has 2355994 (99.0%) missing values Missing
HASYMP4 has 2355996 (99.0%) missing values Missing
HASYMP5 has 2356002 (99.0%) missing values Missing
HASYMP6 has 2356008 (99.0%) missing values Missing
STRSYMP1 has 2356023 (99.0%) missing values Missing
STRSYMP2 has 2356023 (99.0%) missing values Missing
STRSYMP3 has 2356028 (99.0%) missing values Missing
STRSYMP4 has 2356031 (99.0%) missing values Missing
STRSYMP5 has 2356036 (99.0%) missing values Missing
STRSYMP6 has 2356035 (99.0%) missing values Missing
FIRSTAID has 2356042 (99.0%) missing values Missing
PCPSAREC has 2377562 (99.9%) missing values Missing
PCPSARSN has 2378674 (99.9%) missing values Missing
PCPSAADV has 2378675 (99.9%) missing values Missing
PCPSADIS has 2378675 (99.9%) missing values Missing
PROSTATE has 2377567 (99.9%) missing values Missing
SMCQUITL has 2374213 (99.8%) missing values Missing
SMCTRYQT has 2379882 (> 99.9%) missing values Missing
SMCCALQT has 2379626 (> 99.9%) missing values Missing
SMCPROGQ has 2379440 (> 99.9%) missing values Missing
SMCCNSLQ has 2379440 (> 99.9%) missing values Missing
SMCMEDQT has 2379442 (> 99.9%) missing values Missing
SMCTIMEQ has 2379103 (> 99.9%) missing values Missing
SMCPLANQ has 2379734 (> 99.9%) missing values Missing
SHSNWRK1 has 2380047 (100.0%) missing values Missing
SHSNHOM1 has 2380047 (100.0%) missing values Missing
SHSRIDEV has 2380047 (100.0%) missing values Missing
SHSINPUB has 2380047 (100.0%) missing values Missing
SHSHOMES has 2380047 (100.0%) missing values Missing
SHSVHICL has 2380047 (100.0%) missing values Missing
SHSALOW1 has 2380047 (100.0%) missing values Missing
CINOADLT has 2350506 (98.8%) missing values Missing
CIRBIAGE has 2378007 (99.9%) missing values Missing
CIHOWOFT has 2374463 (99.8%) missing values Missing
CIASSIST has 2374466 (99.8%) missing values Missing
CIINTFER has 2374468 (99.8%) missing values Missing
CIFAMCAR has 2374479 (99.8%) missing values Missing
CIHCPROF has 2374481 (99.8%) missing values Missing
CIMEDS has 2378232 (99.9%) missing values Missing
CIDIAGAZ has 2378232 (99.9%) missing values Missing
WHRTST9 has 2380047 (100.0%) missing values Missing
HIVRDTS2 has 2380047 (100.0%) missing values Missing
CHIMRCVE has 2376773 (99.9%) missing values Missing
METVAL1_ has 2028792 (85.2%) missing values Missing
METVAL2_ has 2035836 (85.5%) missing values Missing
ACTINT1_ has 2031963 (85.4%) missing values Missing
ACTINT2_ has 2038906 (85.7%) missing values Missing
_MINACT1 has 2037804 (85.6%) missing values Missing
_MINACT2 has 2041341 (85.8%) missing values Missing
PAMISS_ has 1873580 (78.7%) missing values Missing
PAMIN1_ has 2040788 (85.7%) missing values Missing
PAMIN2_ has 2044327 (85.9%) missing values Missing
PAMIN_ has 2034207 (85.5%) missing values Missing
PAVIGM1_ has 2035988 (85.5%) missing values Missing
PAVIGM2_ has 2042307 (85.8%) missing values Missing
PAVIGMN_ has 2032936 (85.4%) missing values Missing
_PACAT has 1873580 (78.7%) missing values Missing
_PAINDEX has 1873580 (78.7%) missing values Missing
_PA150R1 has 1873580 (78.7%) missing values Missing
_PA300R1 has 1873580 (78.7%) missing values Missing
_PA3002L has 1873580 (78.7%) missing values Missing
_PAREC has 1873580 (78.7%) missing values Missing
_PASTAER has 1873580 (78.7%) missing values Missing
CTELENUM is highly skewed (γ1 = 212.8228879) Skewed
PVTRESD1 is highly skewed (γ1 = 77.75160072) Skewed
CTELNUM1 is highly skewed (γ1 = 67.49473101) Skewed
CELLFON2 is highly skewed (γ1 = 404.5129788) Skewed
HHADULT is highly skewed (γ1 = 20.02750466) Skewed
FTJUDA1_ is highly skewed (γ1 = 30.19968115) Skewed
FRUTDA1_ is highly skewed (γ1 = 21.6026402) Skewed
BEANDAY_ is highly skewed (γ1 = 50.76349106) Skewed
GRENDAY_ is highly skewed (γ1 = 29.07858176) Skewed
ORNGDAY_ is highly skewed (γ1 = 37.34064578) Skewed
VEGEDA1_ is highly skewed (γ1 = 34.63739013) Skewed
_FRUTSUM is highly skewed (γ1 = 20.2913458) Skewed
_FRT16 is highly skewed (γ1 = -73.13713881) Skewed
_VEG23 is highly skewed (γ1 = -98.28229491) Skewed
_MINAC11 is highly skewed (γ1 = 22.60509806) Skewed
_MINAC21 is highly skewed (γ1 = 21.62687483) Skewed
PAMIN21_ is highly skewed (γ1 = 22.63568729) Skewed
PAVIG21_ is highly skewed (γ1 = 30.19005954) Skewed
PVTRESID is highly skewed (γ1 = 117.3176915) Skewed
CELLFON is highly skewed (γ1 = 520.321375) Skewed
CRACEASC is highly skewed (γ1 = 69.33040998) Skewed
MRACEASC is highly skewed (γ1 = 339.6697417) Skewed
_MINACT2 is highly skewed (γ1 = 26.75904022) Skewed
RCSBRAC1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
WRKHCF1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIRCONT1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRHPAD1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
HAVHPAD is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIDFCLT3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIPRFVS3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VINOCRE3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIEYEXM3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIINSUR3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VICTRCT3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIGLUMA3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
VIMACDG3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSNWRK1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSNHOM1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSRIDEV is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSINPUB is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSHOMES is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSVHICL is an unsupported type, check if it needs cleaning or further analysis Unsupported
SHSALOW1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
WHRTST9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
HIVRDTS2 is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-05-10 17:44:18.236992
Analysis finished2025-05-10 17:44:35.227368
Duration16.99 seconds
Software versionydata-profiling v4.16.1
Download configurationconfig.json

Variables

_STATE
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.78154087
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:35.263608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q119
median29
Q342
95-th percentile54
Maximum72
Range71
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.72223587
Coefficient of variation (CV)0.5279188187
Kurtosis-0.6157476451
Mean29.78154087
Median Absolute Deviation (MAD)12
Skewness0.1711677389
Sum70881467
Variance247.1887009
MonotonicityNot monotonic
2025-05-10T13:44:35.383433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 101709
 
4.3%
20 92774
 
3.9%
25 84070
 
3.5%
27 75167
 
3.2%
12 73769
 
3.1%
34 69040
 
2.9%
53 67461
 
2.8%
8 66452
 
2.8%
6 65529
 
2.8%
48 65152
 
2.7%
Other values (43) 1618924
68.0%
ValueCountFrequency (%)
1 39820
1.7%
2 20511
 
0.9%
4 40860
1.7%
5 25708
 
1.1%
6 65529
2.8%
ValueCountFrequency (%)
72 30340
1.3%
66 10002
 
0.4%
56 31505
1.3%
55 30423
1.3%
54 28746
1.2%

FMONTH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.373130867
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:35.457767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.432899217
Coefficient of variation (CV)0.5386519262
Kurtosis-1.215397464
Mean6.373130867
Median Absolute Deviation (MAD)3
Skewness0.01612677532
Sum15168351
Variance11.78479704
MonotonicityNot monotonic
2025-05-10T13:44:35.495258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 221345
9.3%
7 220561
9.3%
1 220124
9.2%
4 219510
9.2%
3 196816
8.3%
2 196074
8.2%
8 193181
8.1%
5 188615
7.9%
9 188577
7.9%
11 185752
7.8%
Other values (2) 349492
14.7%
ValueCountFrequency (%)
1 220124
9.2%
2 196074
8.2%
3 196816
8.3%
4 219510
9.2%
5 188615
7.9%
ValueCountFrequency (%)
12 167379
7.0%
11 185752
7.8%
10 221345
9.3%
9 188577
7.9%
8 193181
8.1%

IDATE
Text

Distinct1875
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:35.574906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters26180517
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowb'01292015'
2nd rowb'01202015'
3rd rowb'02012015'
4th rowb'01142015'
5th rowb'01142015'
ValueCountFrequency (%)
b'04032012 2767
 
0.1%
b'08022011 2727
 
0.1%
b'03022011 2727
 
0.1%
b'08012012 2685
 
0.1%
b'02072012 2670
 
0.1%
b'04042012 2656
 
0.1%
b'08032011 2646
 
0.1%
b'08022012 2639
 
0.1%
b'11032011 2589
 
0.1%
b'07092013 2555
 
0.1%
Other values (1866) 2353441
98.9%
2025-05-10T13:44:35.688703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

IMONTH
Text

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:35.740475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters11900235
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowb'01'
2nd rowb'01'
3rd rowb'02'
4th rowb'01'
5th rowb'01'
ValueCountFrequency (%)
b'03 224579
9.4%
b'08 207834
8.7%
b'11 205029
8.6%
b'02 203268
8.5%
b'07 202825
8.5%
b'10 202810
8.5%
b'04 200504
8.4%
b'06 195100
8.2%
b'05 194401
8.2%
b'09 187097
7.9%
Other values (5) 356655
15.0%
2025-05-10T13:44:35.815195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

IDAY
Text

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:35.863106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters11900235
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'29'
2nd rowb'20'
3rd rowb'01'
4th rowb'14'
5th rowb'14'
ValueCountFrequency (%)
b'07 102288
 
4.3%
b'09 101214
 
4.3%
b'06 100370
 
4.2%
b'10 99788
 
4.2%
b'08 98238
 
4.1%
b'05 97282
 
4.1%
b'11 96549
 
4.1%
b'12 95638
 
4.0%
b'03 95082
 
4.0%
b'04 91965
 
3.9%
Other values (21) 1401633
58.9%
2025-05-10T13:44:36.789372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

IYEAR
Text

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:36.831092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters16660329
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'2015'
2nd rowb'2015'
3rd rowb'2015'
4th rowb'2015'
5th rowb'2015'
ValueCountFrequency (%)
b'2011 503410
21.2%
b'2013 489678
20.6%
b'2012 475160
20.0%
b'2014 465523
19.6%
b'2015 435361
18.3%
b'2016 10915
 
0.5%
2025-05-10T13:44:36.901063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

DISPCODE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.3395622
Minimum110
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:36.937631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile110
Q11100
median1100
Q31100
95-th percentile1200
Maximum1200
Range1090
Interquartile range (IQR)0

Descriptive statistics

Standard deviation410.3956405
Coefficient of variation (CV)0.4568379906
Kurtosis-0.04825316961
Mean898.3395622
Median Absolute Deviation (MAD)0
Skewness-1.38556414
Sum2138090380
Variance168424.5817
MonotonicityNot monotonic
2025-05-10T13:44:36.968340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1100 1663445
69.9%
110 463716
 
19.5%
1200 210135
 
8.8%
120 42751
 
1.8%
ValueCountFrequency (%)
110 463716
 
19.5%
120 42751
 
1.8%
1100 1663445
69.9%
1200 210135
 
8.8%
ValueCountFrequency (%)
1200 210135
 
8.8%
1100 1663445
69.9%
120 42751
 
1.8%
110 463716
 
19.5%

SEQNO
Real number (ℝ)

Distinct126981
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012946329
Minimum2011000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.006191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2011000001
5-th percentile2011002253
Q12012001671
median2013003962
Q32014006239
95-th percentile2015006845
Maximum2015023236
Range4023235
Interquartile range (IQR)2004568

Descriptive statistics

Standard deviation1408557.195
Coefficient of variation (CV)0.0006997490073
Kurtosis-1.284816227
Mean2012946329
Median Absolute Deviation (MAD)1002285
Skewness0.0463516061
Sum4.79090687 × 1015
Variance1.984033372 × 1012
MonotonicityNot monotonic
2025-05-10T13:44:37.051926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2013000251 53
 
< 0.1%
2013001192 53
 
< 0.1%
2013001179 53
 
< 0.1%
2013001177 53
 
< 0.1%
2013001176 53
 
< 0.1%
2013001170 53
 
< 0.1%
2013001161 53
 
< 0.1%
2013001153 53
 
< 0.1%
2013001149 53
 
< 0.1%
Other values (126971) 2379517
> 99.9%
ValueCountFrequency (%)
2011000001 53
< 0.1%
2011000002 53
< 0.1%
2011000003 53
< 0.1%
2011000004 53
< 0.1%
2011000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

_PSU
Real number (ℝ)

Distinct126981
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012946329
Minimum2011000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.097254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2011000001
5-th percentile2011002253
Q12012001671
median2013003962
Q32014006239
95-th percentile2015006845
Maximum2015023236
Range4023235
Interquartile range (IQR)2004568

Descriptive statistics

Standard deviation1408557.195
Coefficient of variation (CV)0.0006997490073
Kurtosis-1.284816227
Mean2012946329
Median Absolute Deviation (MAD)1002285
Skewness0.0463516061
Sum4.79090687 × 1015
Variance1.984033372 × 1012
MonotonicityNot monotonic
2025-05-10T13:44:37.143545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2013000251 53
 
< 0.1%
2013001192 53
 
< 0.1%
2013001179 53
 
< 0.1%
2013001177 53
 
< 0.1%
2013001176 53
 
< 0.1%
2013001170 53
 
< 0.1%
2013001161 53
 
< 0.1%
2013001153 53
 
< 0.1%
2013001149 53
 
< 0.1%
Other values (126971) 2379517
> 99.9%
ValueCountFrequency (%)
2011000001 53
< 0.1%
2011000002 53
< 0.1%
2011000003 53
< 0.1%
2011000004 53
< 0.1%
2011000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

CTELENUM
Real number (ℝ)

Missing  Skewed 

Distinct3
Distinct (%)< 0.1%
Missing186872
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.000141348
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.179435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02974126358
Coefficient of variation (CV)0.02973706032
Kurtosis45914.51614
Mean1.000141348
Median Absolute Deviation (MAD)0
Skewness212.8228879
Sum2193485
Variance0.0008845427596
MonotonicityNot monotonic
2025-05-10T13:44:37.210551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2193125
92.1%
7 45
 
< 0.1%
9 5
 
< 0.1%
(Missing) 186872
 
7.9%
ValueCountFrequency (%)
1 2193125
92.1%
7 45
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 45
 
< 0.1%
1 2193125
92.1%

PVTRESD1
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing1466755
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean1.000165336
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.241720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01285724677
Coefficient of variation (CV)0.01285512136
Kurtosis6043.324648
Mean1.000165336
Median Absolute Deviation (MAD)0
Skewness77.75160072
Sum913443
Variance0.0001653087945
MonotonicityNot monotonic
2025-05-10T13:44:37.271444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 913141
38.4%
2 151
 
< 0.1%
(Missing) 1466755
61.6%
ValueCountFrequency (%)
1 913141
38.4%
2 151
 
< 0.1%
ValueCountFrequency (%)
2 151
 
< 0.1%
1 913141
38.4%

COLGHOUS
Real number (ℝ)

Constant  Missing 

Distinct1
Distinct (%)0.5%
Missing2379834
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.299252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum213
Variance0
MonotonicityIncreasing
2025-05-10T13:44:37.326288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 213
 
< 0.1%
(Missing) 2379834
> 99.9%
ValueCountFrequency (%)
1 213
< 0.1%
ValueCountFrequency (%)
1 213
< 0.1%

STATERES
Real number (ℝ)

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing1469874
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.353555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum910173
Variance0
MonotonicityIncreasing
2025-05-10T13:44:37.380515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 910173
38.2%
(Missing) 1469874
61.8%
ValueCountFrequency (%)
1 910173
38.2%
ValueCountFrequency (%)
1 910173
38.2%

CELLFON3
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing1768837
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean1.227116703
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.408992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4189689647
Coefficient of variation (CV)0.3414255251
Kurtosis-0.3031135572
Mean1.227116703
Median Absolute Deviation (MAD)0
Skewness1.30264632
Sum750026
Variance0.1755349934
MonotonicityNot monotonic
2025-05-10T13:44:37.438104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 472394
 
19.8%
2 138816
 
5.8%
(Missing) 1768837
74.3%
ValueCountFrequency (%)
1 472394
19.8%
2 138816
 
5.8%
ValueCountFrequency (%)
2 138816
 
5.8%
1 472394
19.8%

LADULT
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2360266
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.006420302
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.466426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0823641516
Coefficient of variation (CV)0.08183872226
Kurtosis193.8708846
Mean1.006420302
Median Absolute Deviation (MAD)0
Skewness13.42971594
Sum19908
Variance0.006783853468
MonotonicityNot monotonic
2025-05-10T13:44:37.499435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 19658
 
0.8%
2 119
 
< 0.1%
3 4
 
< 0.1%
(Missing) 2360266
99.2%
ValueCountFrequency (%)
1 19658
0.8%
2 119
 
< 0.1%
3 4
 
< 0.1%
ValueCountFrequency (%)
3 4
 
< 0.1%
2 119
 
< 0.1%
1 19658
0.8%

NUMADULT
Real number (ℝ)

Missing 

Distinct22
Distinct (%)< 0.1%
Missing654595
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean1.813649989
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.533501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum45
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7953794371
Coefficient of variation (CV)0.4385517835
Kurtosis12.57841157
Mean1.813649989
Median Absolute Deviation (MAD)0
Skewness1.606464321
Sum3129366
Variance0.632628449
MonotonicityNot monotonic
2025-05-10T13:44:37.569463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 884639
37.2%
1 622565
26.2%
3 155297
 
6.5%
4 48752
 
2.0%
5 10620
 
0.4%
6 2557
 
0.1%
7 604
 
< 0.1%
8 212
 
< 0.1%
9 78
 
< 0.1%
10 70
 
< 0.1%
Other values (12) 58
 
< 0.1%
(Missing) 654595
27.5%
ValueCountFrequency (%)
1 622565
26.2%
2 884639
37.2%
3 155297
 
6.5%
4 48752
 
2.0%
5 10620
 
0.4%
ValueCountFrequency (%)
45 1
 
< 0.1%
32 1
 
< 0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
18 5
< 0.1%

NUMMEN
Real number (ℝ)

Missing 

Distinct19
Distinct (%)< 0.1%
Missing654716
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.8152945725
Minimum5.397605347 × 10-79
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.603597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q31
95-th percentile2
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6180926112
Coefficient of variation (CV)0.7581218274
Kurtosis15.04595923
Mean0.8152945725
Median Absolute Deviation (MAD)0
Skewness0.9379520507
Sum1406653
Variance0.382038476
MonotonicityNot monotonic
2025-05-10T13:44:37.642356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 1096625
46.1%
5.397605347 × 10-79486288
20.4%
2 121177
 
5.1%
3 18283
 
0.8%
4 2406
 
0.1%
5 379
 
< 0.1%
6 100
 
< 0.1%
7 25
 
< 0.1%
8 21
 
< 0.1%
9 10
 
< 0.1%
Other values (9) 17
 
< 0.1%
(Missing) 654716
27.5%
ValueCountFrequency (%)
5.397605347 × 10-79486288
20.4%
1 1096625
46.1%
2 121177
 
5.1%
3 18283
 
0.8%
4 2406
 
0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
18 4
< 0.1%
17 3
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%

NUMWOMEN
Real number (ℝ)

Missing 

Distinct13
Distinct (%)< 0.1%
Missing654717
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.9982345406
Minimum5.397605347 × 10-79
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.678922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5205857683
Coefficient of variation (CV)0.5215064668
Kurtosis7.71124354
Mean0.9982345406
Median Absolute Deviation (MAD)0
Skewness1.002189498
Sum1722284
Variance0.2710095422
MonotonicityNot monotonic
2025-05-10T13:44:37.715717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 1349368
56.7%
5.397605347 × 10-79202988
 
8.5%
2 149935
 
6.3%
3 19953
 
0.8%
4 2507
 
0.1%
5 432
 
< 0.1%
6 98
 
< 0.1%
7 20
 
< 0.1%
8 14
 
< 0.1%
9 7
 
< 0.1%
Other values (3) 8
 
< 0.1%
(Missing) 654717
27.5%
ValueCountFrequency (%)
5.397605347 × 10-79202988
 
8.5%
1 1349368
56.7%
2 149935
 
6.3%
3 19953
 
0.8%
4 2507
 
0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
16 1
 
< 0.1%
10 6
< 0.1%
9 7
< 0.1%
8 14
< 0.1%

CTELNUM1
Real number (ℝ)

Missing  Skewed 

Distinct4
Distinct (%)< 0.1%
Missing1725543
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.001401061
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.749497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09348272911
Coefficient of variation (CV)0.09335193735
Kurtosis4614.588041
Mean1.001401061
Median Absolute Deviation (MAD)0
Skewness67.49473101
Sum655421
Variance0.008739020642
MonotonicityNot monotonic
2025-05-10T13:44:37.783402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 654355
 
27.5%
7 134
 
< 0.1%
9 14
 
< 0.1%
2 1
 
< 0.1%
(Missing) 1725543
72.5%
ValueCountFrequency (%)
1 654355
27.5%
2 1
 
< 0.1%
7 134
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
9 14
 
< 0.1%
7 134
 
< 0.1%
2 1
 
< 0.1%
1 654355
27.5%

CELLFON2
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing1725515
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.000006111
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.816936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002472085905
Coefficient of variation (CV)0.002472070797
Kurtosis163629.25
Mean1.000006111
Median Absolute Deviation (MAD)0
Skewness404.5129788
Sum654536
Variance6.111208721 × 10-6
MonotonicityNot monotonic
2025-05-10T13:44:37.848795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 654528
 
27.5%
2 4
 
< 0.1%
(Missing) 1725515
72.5%
ValueCountFrequency (%)
1 654528
27.5%
2 4
 
< 0.1%
ValueCountFrequency (%)
2 4
 
< 0.1%
1 654528
27.5%

CADULT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1725515
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.49681299
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.879483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.500005503
Coefficient of variation (CV)0.3340467422
Kurtosis-1.998761509
Mean1.49681299
Median Absolute Deviation (MAD)0
Skewness0.01300499264
Sum979712
Variance0.250005503
MonotonicityNot monotonic
2025-05-10T13:44:37.909283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 329356
 
13.8%
2 325173
 
13.7%
3 2
 
< 0.1%
4 1
 
< 0.1%
(Missing) 1725515
72.5%
ValueCountFrequency (%)
1 329356
13.8%
2 325173
13.7%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 2
 
< 0.1%
2 325173
13.7%
1 329356
13.8%

PVTRESD2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1725514
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.00721736
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:37.938455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0884434179
Coefficient of variation (CV)0.08780966398
Kurtosis780.4492035
Mean1.00721736
Median Absolute Deviation (MAD)0
Skewness18.07095036
Sum659257
Variance0.007822238169
MonotonicityNot monotonic
2025-05-10T13:44:37.970318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 649869
 
27.3%
2 4654
 
0.2%
7 5
 
< 0.1%
9 5
 
< 0.1%
(Missing) 1725514
72.5%
ValueCountFrequency (%)
1 649869
27.3%
2 4654
 
0.2%
7 5
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 5
 
< 0.1%
2 4654
 
0.2%
1 649869
27.3%

CCLGHOUS
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2375715
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.018467221
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.002082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1346490537
Coefficient of variation (CV)0.1322075477
Kurtosis49.2269989
Mean1.018467221
Median Absolute Deviation (MAD)0
Skewness7.155716035
Sum4412
Variance0.01813036766
MonotonicityNot monotonic
2025-05-10T13:44:38.031817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 4252
 
0.2%
2 80
 
< 0.1%
(Missing) 2375715
99.8%
ValueCountFrequency (%)
1 4252
0.2%
2 80
 
< 0.1%
ValueCountFrequency (%)
2 80
 
< 0.1%
1 4252
0.2%

CSTATE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1722404
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean1.068030831
Minimum5.397605347 × 10-79
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.059940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2519740614
Coefficient of variation (CV)0.2359239583
Kurtosis11.22852824
Mean1.068030831
Median Absolute Deviation (MAD)0
Skewness3.470706574
Sum702383
Variance0.0634909276
MonotonicityNot monotonic
2025-05-10T13:44:38.088233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 612908
 
25.8%
2 44733
 
1.9%
9 1
 
< 0.1%
5.397605347 × 10-791
 
< 0.1%
(Missing) 1722404
72.4%
ValueCountFrequency (%)
5.397605347 × 10-791
 
< 0.1%
1 612908
25.8%
2 44733
 
1.9%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
2 44733
 
1.9%
1 612908
25.8%
5.397605347 × 10-791
 
< 0.1%

LANDLINE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1726572
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.72327633
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.116184image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4890002332
Coefficient of variation (CV)0.2837619391
Kurtosis26.67644108
Mean1.72327633
Median Absolute Deviation (MAD)0
Skewness1.275024304
Sum1126118
Variance0.239121228
MonotonicityNot monotonic
2025-05-10T13:44:38.147935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 468487
 
19.7%
1 184393
 
7.7%
7 302
 
< 0.1%
9 293
 
< 0.1%
(Missing) 1726572
72.5%
ValueCountFrequency (%)
1 184393
 
7.7%
2 468487
19.7%
7 302
 
< 0.1%
9 293
 
< 0.1%
ValueCountFrequency (%)
9 293
 
< 0.1%
7 302
 
< 0.1%
2 468487
19.7%
1 184393
 
7.7%

HHADULT
Real number (ℝ)

Missing  Skewed 

Distinct35
Distinct (%)< 0.1%
Missing2038462
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.338876122
Minimum5.397605347 × 10-79
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.185818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.328204613
Coefficient of variation (CV)1.850548891
Kurtosis427.8878268
Mean2.338876122
Median Absolute Deviation (MAD)0
Skewness20.02750466
Sum798925
Variance18.73335518
MonotonicityNot monotonic
2025-05-10T13:44:38.223475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2 173872
 
7.3%
1 84319
 
3.5%
3 49237
 
2.1%
4 22770
 
1.0%
5 7126
 
0.3%
6 2131
 
0.1%
7 650
 
< 0.1%
99 517
 
< 0.1%
8 292
 
< 0.1%
77 200
 
< 0.1%
Other values (25) 471
 
< 0.1%
(Missing) 2038462
85.6%
ValueCountFrequency (%)
5.397605347 × 10-791
 
< 0.1%
1 84319
3.5%
2 173872
7.3%
3 49237
 
2.1%
4 22770
 
1.0%
ValueCountFrequency (%)
99 517
< 0.1%
88 5
 
< 0.1%
77 200
 
< 0.1%
60 1
 
< 0.1%
47 1
 
< 0.1%

GENHLTH
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing20
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.592067653
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.254957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.142224102
Coefficient of variation (CV)0.4406613774
Kurtosis1.140201227
Mean2.592067653
Median Absolute Deviation (MAD)1
Skewness0.6706876852
Sum6169191
Variance1.3046759
MonotonicityNot monotonic
2025-05-10T13:44:38.286915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 768711
32.3%
3 731120
30.7%
1 416221
17.5%
4 322341
13.5%
5 133160
 
5.6%
7 4621
 
0.2%
9 3853
 
0.2%
(Missing) 20
 
< 0.1%
ValueCountFrequency (%)
1 416221
17.5%
2 768711
32.3%
3 731120
30.7%
4 322341
13.5%
5 133160
 
5.6%
ValueCountFrequency (%)
9 3853
 
0.2%
7 4621
 
0.2%
5 133160
 
5.6%
4 322341
13.5%
3 731120
30.7%

PHYSHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing17
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.66664328
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.324969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.02502201
Coefficient of variation (CV)0.610302796
Kurtosis-1.421750734
Mean60.66664328
Median Absolute Deviation (MAD)0
Skewness-0.6841247223
Sum144388431
Variance1370.852255
MonotonicityNot monotonic
2025-05-10T13:44:38.364237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 1477208
62.1%
30 185741
 
7.8%
2 129606
 
5.4%
1 99349
 
4.2%
3 75798
 
3.2%
5 67889
 
2.9%
10 49803
 
2.1%
15 46113
 
1.9%
7 42746
 
1.8%
77 42104
 
1.8%
Other values (23) 163673
 
6.9%
ValueCountFrequency (%)
1 99349
4.2%
2 129606
5.4%
3 75798
3.2%
4 39846
 
1.7%
5 67889
2.9%
ValueCountFrequency (%)
99 10962
 
0.5%
88 1477208
62.1%
77 42104
 
1.8%
30 185741
 
7.8%
29 2125
 
0.1%

MENTHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.46804062
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.403802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q128
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.89050884
Coefficient of variation (CV)0.5567178481
Kurtosis-1.055534867
Mean64.46804062
Median Absolute Deviation (MAD)0
Skewness-0.9220966948
Sum153436322
Variance1288.128625
MonotonicityNot monotonic
2025-05-10T13:44:38.443166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 1614153
67.8%
30 124073
 
5.2%
2 115201
 
4.8%
5 80082
 
3.4%
1 73903
 
3.1%
3 66333
 
2.8%
10 58016
 
2.4%
15 53566
 
2.3%
4 32978
 
1.4%
20 32286
 
1.4%
Other values (23) 129446
 
5.4%
ValueCountFrequency (%)
1 73903
3.1%
2 115201
4.8%
3 66333
2.8%
4 32978
 
1.4%
5 80082
3.4%
ValueCountFrequency (%)
99 11322
 
0.5%
88 1614153
67.8%
77 30456
 
1.3%
30 124073
 
5.2%
29 1931
 
0.1%

POORHLTH
Real number (ℝ)

Missing 

Distinct33
Distinct (%)< 0.1%
Missing1149594
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean56.09526166
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.481063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q112
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)76

Descriptive statistics

Standard deviation37.97544755
Coefficient of variation (CV)0.6769813781
Kurtosis-1.710690399
Mean56.09526166
Median Absolute Deviation (MAD)0
Skewness-0.4197723046
Sum69022583
Variance1442.134616
MonotonicityNot monotonic
2025-05-10T13:44:38.520082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 686184
28.8%
30 107057
 
4.5%
2 65901
 
2.8%
1 59611
 
2.5%
5 42890
 
1.8%
3 40960
 
1.7%
15 38422
 
1.6%
10 36337
 
1.5%
20 25626
 
1.1%
7 23024
 
1.0%
Other values (23) 104441
 
4.4%
(Missing) 1149594
48.3%
ValueCountFrequency (%)
1 59611
2.5%
2 65901
2.8%
3 40960
1.7%
4 22966
 
1.0%
5 42890
1.8%
ValueCountFrequency (%)
99 6259
 
0.3%
88 686184
28.8%
77 22327
 
0.9%
30 107057
 
4.5%
29 918
 
< 0.1%

HLTHPLN1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.125397629
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.551294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5125136888
Coefficient of variation (CV)0.4554067608
Kurtosis124.1108275
Mean1.125397629
Median Absolute Deviation (MAD)0
Skewness9.491061128
Sum2678497
Variance0.2626702812
MonotonicityNot monotonic
2025-05-10T13:44:38.582190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2133253
89.6%
2 238008
 
10.0%
7 4914
 
0.2%
9 3870
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
1 2133253
89.6%
2 238008
 
10.0%
7 4914
 
0.2%
9 3870
 
0.2%
ValueCountFrequency (%)
9 3870
 
0.2%
7 4914
 
0.2%
2 238008
 
10.0%
1 2133253
89.6%

PERSDOC2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.405565861
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.612180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8264499396
Coefficient of variation (CV)0.5879837882
Kurtosis13.04150928
Mean1.405565861
Median Absolute Deviation (MAD)0
Skewness2.727408761
Sum3345310
Variance0.6830195026
MonotonicityNot monotonic
2025-05-10T13:44:38.643231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1821256
76.5%
3 357043
 
15.0%
2 193035
 
8.1%
7 5772
 
0.2%
9 2939
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
1 1821256
76.5%
2 193035
 
8.1%
3 357043
 
15.0%
7 5772
 
0.2%
9 2939
 
0.1%
ValueCountFrequency (%)
9 2939
 
0.1%
7 5772
 
0.2%
3 357043
 
15.0%
2 193035
 
8.1%
1 1821256
76.5%

MEDCOST
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.898105202
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.673931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4300055301
Coefficient of variation (CV)0.2265446244
Kurtosis82.09403733
Mean1.898105202
Median Absolute Deviation (MAD)0
Skewness4.938871022
Sum4517572
Variance0.1849047559
MonotonicityNot monotonic
2025-05-10T13:44:38.704138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2097387
88.1%
1 276415
 
11.6%
7 4893
 
0.2%
9 1348
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 276415
 
11.6%
2 2097387
88.1%
7 4893
 
0.2%
9 1348
 
0.1%
ValueCountFrequency (%)
9 1348
 
0.1%
7 4893
 
0.2%
2 2097387
88.1%
1 276415
 
11.6%

CHECKUP1
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.601442495
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.734879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263830984
Coefficient of variation (CV)0.7891828701
Kurtosis9.552393295
Mean1.601442495
Median Absolute Deviation (MAD)0
Skewness2.863251301
Sum3811502
Variance1.597268757
MonotonicityNot monotonic
2025-05-10T13:44:38.766280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1726136
72.5%
2 278050
 
11.7%
3 162842
 
6.8%
4 159453
 
6.7%
7 28497
 
1.2%
8 22136
 
0.9%
9 2929
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 1726136
72.5%
2 278050
 
11.7%
3 162842
 
6.8%
4 159453
 
6.7%
7 28497
 
1.2%
ValueCountFrequency (%)
9 2929
 
0.1%
8 22136
 
0.9%
7 28497
 
1.2%
4 159453
6.7%
3 162842
6.8%

BPHIGH4
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing940364
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean2.213096911
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.796489image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034822215
Coefficient of variation (CV)0.4675901043
Kurtosis0.6678074806
Mean2.213096911
Median Absolute Deviation (MAD)0
Skewness0.1177264844
Sum3186158
Variance1.070857017
MonotonicityNot monotonic
2025-05-10T13:44:38.827870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 830937
34.9%
1 578471
24.3%
4 15478
 
0.7%
2 10663
 
0.4%
7 2784
 
0.1%
9 1350
 
0.1%
(Missing) 940364
39.5%
ValueCountFrequency (%)
1 578471
24.3%
2 10663
 
0.4%
3 830937
34.9%
4 15478
 
0.7%
7 2784
 
0.1%
ValueCountFrequency (%)
9 1350
 
0.1%
7 2784
 
0.1%
4 15478
 
0.7%
3 830937
34.9%
2 10663
 
0.4%

BPMEDS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1801576
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean1.170544418
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.857737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4482096666
Coefficient of variation (CV)0.382907013
Kurtosis67.93120677
Mean1.170544418
Median Absolute Deviation (MAD)0
Skewness5.704937007
Sum677126
Variance0.2008919053
MonotonicityNot monotonic
2025-05-10T13:44:38.889705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 485126
 
20.4%
2 92355
 
3.9%
7 810
 
< 0.1%
9 180
 
< 0.1%
(Missing) 1801576
75.7%
ValueCountFrequency (%)
1 485126
20.4%
2 92355
 
3.9%
7 810
 
< 0.1%
9 180
 
< 0.1%
ValueCountFrequency (%)
9 180
 
< 0.1%
7 810
 
< 0.1%
2 92355
 
3.9%
1 485126
20.4%

BLOODCHO
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean1.23569698
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.921742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8807631926
Coefficient of variation (CV)0.7127663226
Kurtosis34.50656399
Mean1.23569698
Median Absolute Deviation (MAD)0
Skewness5.688454563
Sum1779028
Variance0.7757438014
MonotonicityNot monotonic
2025-05-10T13:44:38.955394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1241978
52.2%
2 169618
 
7.1%
7 27543
 
1.2%
9 557
 
< 0.1%
(Missing) 940351
39.5%
ValueCountFrequency (%)
1 1241978
52.2%
2 169618
 
7.1%
7 27543
 
1.2%
9 557
 
< 0.1%
ValueCountFrequency (%)
9 557
 
< 0.1%
7 27543
 
1.2%
2 169618
 
7.1%
1 1241978
52.2%

CHOLCHK
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1138070
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean1.449954387
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:38.989050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.015683931
Coefficient of variation (CV)0.700493712
Kurtosis12.23410343
Mean1.449954387
Median Absolute Deviation (MAD)0
Skewness3.143014043
Sum1800810
Variance1.031613848
MonotonicityNot monotonic
2025-05-10T13:44:39.022331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 947803
39.8%
2 144225
 
6.1%
3 87221
 
3.7%
4 45880
 
1.9%
7 16129
 
0.7%
9 719
 
< 0.1%
(Missing) 1138070
47.8%
ValueCountFrequency (%)
1 947803
39.8%
2 144225
 
6.1%
3 87221
 
3.7%
4 45880
 
1.9%
7 16129
 
0.7%
ValueCountFrequency (%)
9 719
 
< 0.1%
7 16129
 
0.7%
4 45880
 
1.9%
3 87221
3.7%
2 144225
6.1%

TOLDHI2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1138070
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean1.619441423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.055188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7321514171
Coefficient of variation (CV)0.452101204
Kurtosis32.09931446
Mean1.619441423
Median Absolute Deviation (MAD)0
Skewness4.12061083
Sum2011309
Variance0.5360456976
MonotonicityNot monotonic
2025-05-10T13:44:39.088217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 699328
29.4%
1 531460
22.3%
7 9754
 
0.4%
9 1435
 
0.1%
(Missing) 1138070
47.8%
ValueCountFrequency (%)
1 531460
22.3%
2 699328
29.4%
7 9754
 
0.4%
9 1435
 
0.1%
ValueCountFrequency (%)
9 1435
 
0.1%
7 9754
 
0.4%
2 699328
29.4%
1 531460
22.3%

CVDINFR4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.965998948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.120674image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4381532308
Coefficient of variation (CV)0.2228654452
Kurtosis106.7658136
Mean1.965998948
Median Absolute Deviation (MAD)0
Skewness8.022409188
Sum4679164
Variance0.1919782537
MonotonicityNot monotonic
2025-05-10T13:44:39.153063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2226952
93.6%
1 141437
 
5.9%
7 10536
 
0.4%
9 1119
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 141437
 
5.9%
2 2226952
93.6%
7 10536
 
0.4%
9 1119
 
< 0.1%
ValueCountFrequency (%)
9 1119
 
< 0.1%
7 10536
 
0.4%
2 2226952
93.6%
1 141437
 
5.9%

CVDCRHD4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.984758278
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.184462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5384977713
Coefficient of variation (CV)0.2713165514
Kurtosis74.26914448
Mean1.984758278
Median Absolute Deviation (MAD)0
Skewness7.40219873
Sum4723816
Variance0.2899798497
MonotonicityNot monotonic
2025-05-10T13:44:39.215200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2216824
93.1%
1 142475
 
6.0%
7 19515
 
0.8%
9 1232
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 142475
 
6.0%
2 2216824
93.1%
7 19515
 
0.8%
9 1232
 
0.1%
ValueCountFrequency (%)
9 1232
 
0.1%
7 19515
 
0.8%
2 2216824
93.1%
1 142475
 
6.0%

CVDSTRK3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.97399169
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.244467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3469588902
Coefficient of variation (CV)0.175765122
Kurtosis169.7586451
Mean1.97399169
Median Absolute Deviation (MAD)0
Skewness9.663014477
Sum4698193
Variance0.1203804715
MonotonicityNot monotonic
2025-05-10T13:44:39.274186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2275622
95.6%
1 97621
 
4.1%
7 5954
 
0.3%
9 850
 
< 0.1%
ValueCountFrequency (%)
1 97621
 
4.1%
2 2275622
95.6%
7 5954
 
0.3%
9 850
 
< 0.1%
ValueCountFrequency (%)
9 850
 
< 0.1%
7 5954
 
0.3%
2 2275622
95.6%
1 97621
 
4.1%

ASTHMA3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.884731688
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.304007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4545712381
Coefficient of variation (CV)0.241186181
Kurtosis65.39212872
Mean1.884731688
Median Absolute Deviation (MAD)0
Skewness4.424833235
Sum4485750
Variance0.2066350105
MonotonicityNot monotonic
2025-05-10T13:44:39.333667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2058559
86.5%
1 313909
 
13.2%
7 6744
 
0.3%
9 835
 
< 0.1%
ValueCountFrequency (%)
1 313909
 
13.2%
2 2058559
86.5%
7 6744
 
0.3%
9 835
 
< 0.1%
ValueCountFrequency (%)
9 835
 
< 0.1%
7 6744
 
0.3%
2 2058559
86.5%
1 313909
 
13.2%

ASTHNOW
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2066138
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean1.450429902
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.363609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.051580021
Coefficient of variation (CV)0.7250126464
Kurtosis19.96706068
Mean1.450429902
Median Absolute Deviation (MAD)0
Skewness4.248599605
Sum455303
Variance1.105820541
MonotonicityNot monotonic
2025-05-10T13:44:39.394192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 216975
 
9.1%
2 88118
 
3.7%
7 8626
 
0.4%
9 190
 
< 0.1%
(Missing) 2066138
86.8%
ValueCountFrequency (%)
1 216975
9.1%
2 88118
3.7%
7 8626
 
0.4%
9 190
 
< 0.1%
ValueCountFrequency (%)
9 190
 
< 0.1%
7 8626
 
0.4%
2 88118
3.7%
1 216975
9.1%

CHCSCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1134
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.92397368
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.424033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40104531
Coefficient of variation (CV)0.2084463598
Kurtosis95.02637428
Mean1.92397368
Median Absolute Deviation (MAD)0
Skewness5.651857562
Sum4576966
Variance0.1608373407
MonotonicityNot monotonic
2025-05-10T13:44:39.454492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2157745
90.7%
1 214741
 
9.0%
7 5554
 
0.2%
9 873
 
< 0.1%
(Missing) 1134
 
< 0.1%
ValueCountFrequency (%)
1 214741
 
9.0%
2 2157745
90.7%
7 5554
 
0.2%
9 873
 
< 0.1%
ValueCountFrequency (%)
9 873
 
< 0.1%
7 5554
 
0.2%
2 2157745
90.7%
1 214741
 
9.0%

CHCOCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1128
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.918146015
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.483603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3995384866
Coefficient of variation (CV)0.2082940941
Kurtosis97.42460162
Mean1.918146015
Median Absolute Deviation (MAD)0
Skewness5.486114766
Sum4563114
Variance0.1596310023
MonotonicityNot monotonic
2025-05-10T13:44:39.513804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2147679
90.2%
1 225537
 
9.5%
7 4554
 
0.2%
9 1149
 
< 0.1%
(Missing) 1128
 
< 0.1%
ValueCountFrequency (%)
1 225537
 
9.5%
2 2147679
90.2%
7 4554
 
0.2%
9 1149
 
< 0.1%
ValueCountFrequency (%)
9 1149
 
< 0.1%
7 4554
 
0.2%
2 2147679
90.2%
1 225537
 
9.5%

CHCCOPD1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing506480
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.946249587
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.543737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4711757901
Coefficient of variation (CV)0.2420942274
Kurtosis85.22746086
Mean1.946249587
Median Absolute Deviation (MAD)0
Skewness6.852698604
Sum3646429
Variance0.2220066252
MonotonicityNot monotonic
2025-05-10T13:44:39.575005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1711410
71.9%
1 152194
 
6.4%
7 9126
 
0.4%
9 837
 
< 0.1%
(Missing) 506480
 
21.3%
ValueCountFrequency (%)
1 152194
 
6.4%
2 1711410
71.9%
7 9126
 
0.4%
9 837
 
< 0.1%
ValueCountFrequency (%)
9 837
 
< 0.1%
7 9126
 
0.4%
2 1711410
71.9%
1 152194
 
6.4%

HAVARTH3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1132
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.69145724
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.605901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6345490095
Coefficient of variation (CV)0.3751493059
Kurtosis32.64596538
Mean1.69145724
Median Absolute Deviation (MAD)0
Skewness3.548696409
Sum4023833
Variance0.4026524455
MonotonicityNot monotonic
2025-05-10T13:44:39.635303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%
7 12794
 
0.5%
9 1188
 
< 0.1%
(Missing) 1132
 
< 0.1%
ValueCountFrequency (%)
1 806283
33.9%
2 1558650
65.5%
7 12794
 
0.5%
9 1188
 
< 0.1%
ValueCountFrequency (%)
9 1188
 
< 0.1%
7 12794
 
0.5%
2 1558650
65.5%
1 806283
33.9%

ADDEPEV2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1138
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.837593199
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.664317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5506375474
Coefficient of variation (CV)0.2996514939
Kurtosis56.64157031
Mean1.837593199
Median Absolute Deviation (MAD)0
Skewness4.678644687
Sum4371467
Variance0.3032017086
MonotonicityNot monotonic
2025-05-10T13:44:39.694640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1921370
80.7%
1 446544
 
18.8%
7 8386
 
0.4%
9 2609
 
0.1%
(Missing) 1138
 
< 0.1%
ValueCountFrequency (%)
1 446544
 
18.8%
2 1921370
80.7%
7 8386
 
0.4%
9 2609
 
0.1%
ValueCountFrequency (%)
9 2609
 
0.1%
7 8386
 
0.4%
2 1921370
80.7%
1 446544
 
18.8%

CHCKIDNY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1132
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.984751872
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.723546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3607824407
Coefficient of variation (CV)0.1817771006
Kurtosis177.0620975
Mean1.984751872
Median Absolute Deviation (MAD)0
Skewness10.74608299
Sum4721556
Variance0.1301639695
MonotonicityNot monotonic
2025-05-10T13:44:39.754493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2291481
96.3%
1 79285
 
3.3%
7 7016
 
0.3%
9 1133
 
< 0.1%
(Missing) 1132
 
< 0.1%
ValueCountFrequency (%)
1 79285
 
3.3%
2 2291481
96.3%
7 7016
 
0.3%
9 1133
 
< 0.1%
ValueCountFrequency (%)
9 1133
 
< 0.1%
7 7016
 
0.3%
2 2291481
96.3%
1 79285
 
3.3%

DIABETE3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing1142
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.760990456
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.784164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7180101309
Coefficient of variation (CV)0.2600552745
Kurtosis6.120750987
Mean2.760990456
Median Absolute Deviation (MAD)0
Skewness-1.192025619
Sum6568134
Variance0.5155385481
MonotonicityNot monotonic
2025-05-10T13:44:39.814379image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2010686
84.5%
1 302943
 
12.7%
4 39868
 
1.7%
2 21317
 
0.9%
7 2896
 
0.1%
9 1195
 
0.1%
(Missing) 1142
 
< 0.1%
ValueCountFrequency (%)
1 302943
 
12.7%
2 21317
 
0.9%
3 2010686
84.5%
4 39868
 
1.7%
7 2896
 
0.1%
ValueCountFrequency (%)
9 1195
 
0.1%
7 2896
 
0.1%
4 39868
 
1.7%
3 2010686
84.5%
2 21317
 
0.9%

DIABAGE2
Real number (ℝ)

Missing 

Distinct99
Distinct (%)< 0.1%
Missing2177120
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean54.49033889
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.853977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q144
median54
Q364
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.13801249
Coefficient of variation (CV)0.3328665752
Kurtosis0.7141520213
Mean54.49033889
Median Absolute Deviation (MAD)10
Skewness0.3225308712
Sum11057561
Variance328.987497
MonotonicityNot monotonic
2025-05-10T13:44:39.894495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 16602
 
0.7%
60 13456
 
0.6%
98 11853
 
0.5%
55 11751
 
0.5%
40 9808
 
0.4%
45 8723
 
0.4%
65 8325
 
0.3%
70 5986
 
0.3%
58 5001
 
0.2%
52 4674
 
0.2%
Other values (89) 106748
 
4.5%
(Missing) 2177120
91.5%
ValueCountFrequency (%)
1 175
< 0.1%
2 121
< 0.1%
3 127
< 0.1%
4 175
< 0.1%
5 196
< 0.1%
ValueCountFrequency (%)
99 851
 
< 0.1%
98 11853
0.5%
97 7
 
< 0.1%
96 4
 
< 0.1%
95 9
 
< 0.1%

SEX
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.591717306
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.926308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49151606
Coefficient of variation (CV)0.308796077
Kurtosis-1.860721845
Mean1.591717306
Median Absolute Deviation (MAD)0
Skewness-0.3732019804
Sum3788362
Variance0.2415880372
MonotonicityNot monotonic
2025-05-10T13:44:39.956680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1408315
59.2%
1 971732
40.8%
ValueCountFrequency (%)
1 971732
40.8%
2 1408315
59.2%
ValueCountFrequency (%)
2 1408315
59.2%
1 971732
40.8%

MARITAL
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing2013
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.242935551
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:39.984677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.653797105
Coefficient of variation (CV)0.7373359901
Kurtosis0.7050698066
Mean2.242935551
Median Absolute Deviation (MAD)0
Skewness1.217431182
Sum5333777
Variance2.735044865
MonotonicityNot monotonic
2025-05-10T13:44:40.016811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1249847
52.5%
5 353113
 
14.8%
2 330608
 
13.9%
3 317150
 
13.3%
6 62970
 
2.6%
4 50247
 
2.1%
9 14099
 
0.6%
(Missing) 2013
 
0.1%
ValueCountFrequency (%)
1 1249847
52.5%
2 330608
 
13.9%
3 317150
 
13.3%
4 50247
 
2.1%
5 353113
 
14.8%
ValueCountFrequency (%)
9 14099
 
0.6%
6 62970
 
2.6%
5 353113
14.8%
4 50247
 
2.1%
3 317150
13.3%

EDUCA
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing3090
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.876665838
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.047492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084552317
Coefficient of variation (CV)0.222396275
Kurtosis0.3657217514
Mean4.876665838
Median Absolute Deviation (MAD)1
Skewness-0.4291841392
Sum11591625
Variance1.176253728
MonotonicityNot monotonic
2025-05-10T13:44:40.077889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 834954
35.1%
4 686393
28.8%
5 644869
27.1%
3 133735
 
5.6%
2 65189
 
2.7%
9 8573
 
0.4%
1 3244
 
0.1%
(Missing) 3090
 
0.1%
ValueCountFrequency (%)
1 3244
 
0.1%
2 65189
 
2.7%
3 133735
 
5.6%
4 686393
28.8%
5 644869
27.1%
ValueCountFrequency (%)
9 8573
 
0.4%
6 834954
35.1%
5 644869
27.1%
4 686393
28.8%
3 133735
 
5.6%

RENTHOM1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing16922
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1.38592584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.108038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9350819211
Coefficient of variation (CV)0.6746983816
Kurtosis39.11127114
Mean1.38592584
Median Absolute Deviation (MAD)0
Skewness5.440794137
Sum3275116
Variance0.8743781992
MonotonicityNot monotonic
2025-05-10T13:44:40.137824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1718712
72.2%
2 520101
 
21.9%
3 99110
 
4.2%
9 21229
 
0.9%
7 3973
 
0.2%
(Missing) 16922
 
0.7%
ValueCountFrequency (%)
1 1718712
72.2%
2 520101
 
21.9%
3 99110
 
4.2%
7 3973
 
0.2%
9 21229
 
0.9%
ValueCountFrequency (%)
9 21229
 
0.9%
7 3973
 
0.2%
3 99110
 
4.2%
2 520101
 
21.9%
1 1718712
72.2%

NUMHHOL2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing663322
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean1.979299538
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.167005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4890241859
Coefficient of variation (CV)0.2470693174
Kurtosis156.4682069
Mean1.979299538
Median Absolute Deviation (MAD)0
Skewness10.85539153
Sum3397913
Variance0.2391446544
MonotonicityNot monotonic
2025-05-10T13:44:40.198862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1625652
68.3%
1 83860
 
3.5%
9 6129
 
0.3%
7 1084
 
< 0.1%
(Missing) 663322
27.9%
ValueCountFrequency (%)
1 83860
 
3.5%
2 1625652
68.3%
7 1084
 
< 0.1%
9 6129
 
0.3%
ValueCountFrequency (%)
9 6129
 
0.3%
7 1084
 
< 0.1%
2 1625652
68.3%
1 83860
 
3.5%

NUMPHON2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2296229
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean1.734591615
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.229653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.168544122
Coefficient of variation (CV)0.6736710313
Kurtosis19.06261285
Mean1.734591615
Median Absolute Deviation (MAD)1
Skewness3.854085534
Sum145390
Variance1.365495366
MonotonicityNot monotonic
2025-05-10T13:44:40.260946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 40132
 
1.7%
2 36679
 
1.5%
3 4078
 
0.2%
9 945
 
< 0.1%
7 916
 
< 0.1%
4 733
 
< 0.1%
5 193
 
< 0.1%
6 142
 
< 0.1%
(Missing) 2296229
96.5%
ValueCountFrequency (%)
1 40132
1.7%
2 36679
1.5%
3 4078
 
0.2%
4 733
 
< 0.1%
5 193
 
< 0.1%
ValueCountFrequency (%)
9 945
< 0.1%
7 916
< 0.1%
6 142
 
< 0.1%
5 193
 
< 0.1%
4 733
< 0.1%

CPDEMO1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing663803
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean1.258748756
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.290170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7039910599
Coefficient of variation (CV)0.5592784554
Kurtosis74.94162451
Mean1.258748756
Median Absolute Deviation (MAD)0
Skewness7.342527508
Sum2160320
Variance0.4956034125
MonotonicityNot monotonic
2025-05-10T13:44:40.322406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1338386
56.2%
2 368160
 
15.5%
9 8864
 
0.4%
7 834
 
< 0.1%
(Missing) 663803
27.9%
ValueCountFrequency (%)
1 1338386
56.2%
2 368160
 
15.5%
7 834
 
< 0.1%
9 8864
 
0.4%
ValueCountFrequency (%)
9 8864
 
0.4%
7 834
 
< 0.1%
2 368160
 
15.5%
1 1338386
56.2%

VETERAN3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1156
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.878233177
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.352912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.398311514
Coefficient of variation (CV)0.2120671272
Kurtosis86.27750713
Mean1.878233177
Median Absolute Deviation (MAD)0
Skewness3.646557845
Sum4468112
Variance0.1586520622
MonotonicityNot monotonic
2025-05-10T13:44:40.382719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2070435
87.0%
1 305931
 
12.9%
9 1818
 
0.1%
7 707
 
< 0.1%
(Missing) 1156
 
< 0.1%
ValueCountFrequency (%)
1 305931
 
12.9%
2 2070435
87.0%
7 707
 
< 0.1%
9 1818
 
0.1%
ValueCountFrequency (%)
9 1818
 
0.1%
7 707
 
< 0.1%
2 2070435
87.0%
1 305931
 
12.9%

EMPLOY1
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing985239
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean3.902182236
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.575903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.858922086
Coefficient of variation (CV)0.7326469941
Kurtosis-1.757893778
Mean3.902182236
Median Absolute Deviation (MAD)2
Skewness0.1880126992
Sum5442795
Variance8.173435492
MonotonicityNot monotonic
2025-05-10T13:44:40.607333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 570551
24.0%
7 407598
17.1%
2 115564
 
4.9%
8 103417
 
4.3%
5 87789
 
3.7%
6 35236
 
1.5%
3 34434
 
1.4%
4 31008
 
1.3%
9 9211
 
0.4%
(Missing) 985239
41.4%
ValueCountFrequency (%)
1 570551
24.0%
2 115564
 
4.9%
3 34434
 
1.4%
4 31008
 
1.3%
5 87789
 
3.7%
ValueCountFrequency (%)
9 9211
 
0.4%
8 103417
 
4.3%
7 407598
17.1%
6 35236
 
1.5%
5 87789
 
3.7%

CHILDREN
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing2862
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.27285466
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.644466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation38.00250497
Coefficient of variation (CV)0.5822099427
Kurtosis-0.8598041918
Mean65.27285466
Median Absolute Deviation (MAD)0
Skewness-1.066182037
Sum155165651
Variance1444.190384
MonotonicityNot monotonic
2025-05-10T13:44:40.682157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
88 1737459
73.0%
1 255767
 
10.7%
2 226890
 
9.5%
3 96495
 
4.1%
4 33559
 
1.4%
99 10521
 
0.4%
5 10414
 
0.4%
6 3780
 
0.2%
7 1235
 
0.1%
8 564
 
< 0.1%
Other values (26) 501
 
< 0.1%
(Missing) 2862
 
0.1%
ValueCountFrequency (%)
1 255767
10.7%
2 226890
9.5%
3 96495
 
4.1%
4 33559
 
1.4%
5 10414
 
0.4%
ValueCountFrequency (%)
99 10521
 
0.4%
88 1737459
73.0%
87 1
 
< 0.1%
85 2
 
< 0.1%
80 1
 
< 0.1%

INCOME2
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing10157
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean17.93715531
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.713737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q38
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.79273856
Coefficient of variation (CV)1.66095114
Kurtosis2.339992959
Mean17.93715531
Median Absolute Deviation (MAD)1
Skewness2.038437311
Sum42509085
Variance887.6072707
MonotonicityNot monotonic
2025-05-10T13:44:40.743711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 574452
24.1%
7 317063
13.3%
6 295327
12.4%
5 231510
9.7%
4 195739
 
8.2%
99 181403
 
7.6%
77 171052
 
7.2%
3 162003
 
6.8%
2 124309
 
5.2%
1 117032
 
4.9%
(Missing) 10157
 
0.4%
ValueCountFrequency (%)
1 117032
4.9%
2 124309
5.2%
3 162003
6.8%
4 195739
8.2%
5 231510
9.7%
ValueCountFrequency (%)
99 181403
 
7.6%
77 171052
 
7.2%
8 574452
24.1%
7 317063
13.3%
6 295327
12.4%

INTERNET
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing997697
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean1.259409701
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.771702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6413210166
Coefficient of variation (CV)0.5092235006
Kurtosis76.29288635
Mean1.259409701
Median Absolute Deviation (MAD)0
Skewness6.98954022
Sum1740945
Variance0.4112926463
MonotonicityNot monotonic
2025-05-10T13:44:40.802482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1063091
44.7%
2 313305
 
13.2%
9 4783
 
0.2%
7 1171
 
< 0.1%
(Missing) 997697
41.9%
ValueCountFrequency (%)
1 1063091
44.7%
2 313305
 
13.2%
7 1171
 
< 0.1%
9 4783
 
0.2%
ValueCountFrequency (%)
9 4783
 
0.2%
7 1171
 
< 0.1%
2 313305
 
13.2%
1 1063091
44.7%

WEIGHT2
Real number (ℝ)

Distinct696
Distinct (%)< 0.1%
Missing13653
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean590.885443
Minimum50
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.841919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile118
Q1145
median175
Q3205
95-th percentile345
Maximum9999
Range9949
Interquartile range (IQR)60

Descriptive statistics

Standard deviation1907.056176
Coefficient of variation (CV)3.227454998
Kurtosis17.95371336
Mean590.885443
Median Absolute Deviation (MAD)30
Skewness4.437891686
Sum1398267767
Variance3636863.26
MonotonicityNot monotonic
2025-05-10T13:44:40.882764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 109510
 
4.6%
180 108897
 
4.6%
150 107098
 
4.5%
160 104142
 
4.4%
170 91117
 
3.8%
140 82170
 
3.5%
190 76350
 
3.2%
9999 69231
 
2.9%
175 64836
 
2.7%
130 64224
 
2.7%
Other values (686) 1488819
62.6%
ValueCountFrequency (%)
50 68
< 0.1%
51 6
 
< 0.1%
52 6
 
< 0.1%
53 8
 
< 0.1%
54 3
 
< 0.1%
ValueCountFrequency (%)
9999 69231
2.9%
9501 1
 
< 0.1%
9325 1
 
< 0.1%
9320 1
 
< 0.1%
9300 2
 
< 0.1%

HEIGHT3
Real number (ℝ)

Distinct219
Distinct (%)< 0.1%
Missing14997
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean669.6640536
Minimum200
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.922303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile500
Q1504
median506
Q3510
95-th percentile602
Maximum9999
Range9799
Interquartile range (IQR)6

Descriptive statistics

Standard deviation1130.149319
Coefficient of variation (CV)1.687636231
Kurtosis53.21344593
Mean669.6640536
Median Absolute Deviation (MAD)3
Skewness7.377186393
Sum1583788970
Variance1277237.484
MonotonicityNot monotonic
2025-05-10T13:44:40.962736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
504 221742
 
9.3%
506 217349
 
9.1%
505 194455
 
8.2%
507 189275
 
8.0%
503 178927
 
7.5%
502 173275
 
7.3%
508 171245
 
7.2%
510 158712
 
6.7%
509 148567
 
6.2%
600 140796
 
5.9%
Other values (209) 570707
24.0%
ValueCountFrequency (%)
200 1
< 0.1%
202 1
< 0.1%
203 1
< 0.1%
204 2
< 0.1%
205 1
< 0.1%
ValueCountFrequency (%)
9999 16945
0.7%
9605 1
 
< 0.1%
9510 2
 
< 0.1%
9509 4
 
< 0.1%
9508 1
 
< 0.1%

PREGNANT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2011088
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean2.011578522
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:40.993415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5965062713
Coefficient of variation (CV)0.2965364089
Kurtosis106.1544997
Mean2.011578522
Median Absolute Deviation (MAD)0
Skewness9.581549177
Sum742190
Variance0.3558197317
MonotonicityNot monotonic
2025-05-10T13:44:41.024679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 352059
 
14.8%
1 13991
 
0.6%
9 1859
 
0.1%
7 1050
 
< 0.1%
(Missing) 2011088
84.5%
ValueCountFrequency (%)
1 13991
 
0.6%
2 352059
14.8%
7 1050
 
< 0.1%
9 1859
 
0.1%
ValueCountFrequency (%)
9 1859
 
0.1%
7 1050
 
< 0.1%
2 352059
14.8%
1 13991
 
0.6%

QLACTLM2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing60492
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean1.79610227
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.054620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7208346166
Coefficient of variation (CV)0.4013327241
Kurtosis50.72472416
Mean1.79610227
Median Absolute Deviation (MAD)0
Skewness5.422300778
Sum4166158
Variance0.5196025445
MonotonicityNot monotonic
2025-05-10T13:44:41.084699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1712627
72.0%
1 587908
 
24.7%
9 9928
 
0.4%
7 9092
 
0.4%
(Missing) 60492
 
2.5%
ValueCountFrequency (%)
1 587908
 
24.7%
2 1712627
72.0%
7 9092
 
0.4%
9 9928
 
0.4%
ValueCountFrequency (%)
9 9928
 
0.4%
7 9092
 
0.4%
2 1712627
72.0%
1 587908
 
24.7%

USEEQUIP
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing64638
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean1.910892201
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.113512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5322703314
Coefficient of variation (CV)0.2785454518
Kurtosis106.075619
Mean1.910892201
Median Absolute Deviation (MAD)0
Skewness7.701729974
Sum4424497
Variance0.2833117057
MonotonicityNot monotonic
2025-05-10T13:44:41.143370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2039658
85.7%
1 266698
 
11.2%
9 7556
 
0.3%
7 1497
 
0.1%
(Missing) 64638
 
2.7%
ValueCountFrequency (%)
1 266698
 
11.2%
2 2039658
85.7%
7 1497
 
0.1%
9 7556
 
0.3%
ValueCountFrequency (%)
9 7556
 
0.3%
7 1497
 
0.1%
2 2039658
85.7%
1 266698
 
11.2%

BLIND
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1017398
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean1.975523411
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.172007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4729680051
Coefficient of variation (CV)0.2394140219
Kurtosis146.6953451
Mean1.975523411
Median Absolute Deviation (MAD)0
Skewness10.1983381
Sum2691945
Variance0.2236987339
MonotonicityNot monotonic
2025-05-10T13:44:41.202608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1286042
54.0%
1 70565
 
3.0%
9 3501
 
0.1%
7 2541
 
0.1%
(Missing) 1017398
42.7%
ValueCountFrequency (%)
1 70565
 
3.0%
2 1286042
54.0%
7 2541
 
0.1%
9 3501
 
0.1%
ValueCountFrequency (%)
9 3501
 
0.1%
7 2541
 
0.1%
2 1286042
54.0%
1 70565
 
3.0%

DECIDE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1019151
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean1.940151195
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.232996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5893556833
Coefficient of variation (CV)0.3037679151
Kurtosis82.15703352
Mean1.940151195
Median Absolute Deviation (MAD)0
Skewness7.365365652
Sum2640344
Variance0.3473401214
MonotonicityNot monotonic
2025-05-10T13:44:41.263646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1213472
51.0%
1 137808
 
5.8%
7 5476
 
0.2%
9 4140
 
0.2%
(Missing) 1019151
42.8%
ValueCountFrequency (%)
1 137808
 
5.8%
2 1213472
51.0%
7 5476
 
0.2%
9 4140
 
0.2%
ValueCountFrequency (%)
9 4140
 
0.2%
7 5476
 
0.2%
2 1213472
51.0%
1 137808
 
5.8%

DIFFWALK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1020763
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1.85637365
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.293930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.602314828
Coefficient of variation (CV)0.3244577556
Kurtosis67.84196239
Mean1.85637365
Median Absolute Deviation (MAD)0
Skewness5.896285857
Sum2523339
Variance0.362783152
MonotonicityNot monotonic
2025-05-10T13:44:41.324542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1111047
46.7%
1 240671
 
10.1%
9 3806
 
0.2%
7 3760
 
0.2%
(Missing) 1020763
42.9%
ValueCountFrequency (%)
1 240671
 
10.1%
2 1111047
46.7%
7 3760
 
0.2%
9 3806
 
0.2%
ValueCountFrequency (%)
9 3806
 
0.2%
7 3760
 
0.2%
2 1111047
46.7%
1 240671
 
10.1%

DIFFDRES
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1021805
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1.977678499
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.354169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.433085017
Coefficient of variation (CV)0.2189865629
Kurtosis186.5620982
Mean1.977678499
Median Absolute Deviation (MAD)0
Skewness11.49183961
Sum2686166
Variance0.1875626319
MonotonicityNot monotonic
2025-05-10T13:44:41.385550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1293778
54.4%
1 59906
 
2.5%
9 3399
 
0.1%
7 1159
 
< 0.1%
(Missing) 1021805
42.9%
ValueCountFrequency (%)
1 59906
 
2.5%
2 1293778
54.4%
7 1159
 
< 0.1%
9 3399
 
0.1%
ValueCountFrequency (%)
9 3399
 
0.1%
7 1159
 
< 0.1%
2 1293778
54.4%
1 59906
 
2.5%

DIFFALON
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1023362
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean1.951272403
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.415254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5167190636
Coefficient of variation (CV)0.264811342
Kurtosis116.0415706
Mean1.951272403
Median Absolute Deviation (MAD)0
Skewness8.683001606
Sum2647262
Variance0.2669985907
MonotonicityNot monotonic
2025-05-10T13:44:41.446609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1243303
52.2%
1 106815
 
4.5%
9 3936
 
0.2%
7 2631
 
0.1%
(Missing) 1023362
43.0%
ValueCountFrequency (%)
1 106815
 
4.5%
2 1243303
52.2%
7 2631
 
0.1%
9 3936
 
0.2%
ValueCountFrequency (%)
9 3936
 
0.2%
7 2631
 
0.1%
2 1243303
52.2%
1 106815
 
4.5%

SMOKE100
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing50567
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.588462232
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.476436image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6927182589
Coefficient of variation (CV)0.4360936288
Kurtosis39.56387105
Mean1.588462232
Median Absolute Deviation (MAD)0
Skewness4.312674397
Sum3700291
Variance0.4798585862
MonotonicityNot monotonic
2025-05-10T13:44:41.506334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1275531
53.6%
1 1039679
43.7%
7 9440
 
0.4%
9 4830
 
0.2%
(Missing) 50567
 
2.1%
ValueCountFrequency (%)
1 1039679
43.7%
2 1275531
53.6%
7 9440
 
0.4%
9 4830
 
0.2%
ValueCountFrequency (%)
9 4830
 
0.2%
7 9440
 
0.4%
2 1275531
53.6%
1 1039679
43.7%

SMOKDAY2
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1340643
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean2.403784284
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.535371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8945370914
Coefficient of variation (CV)0.372137008
Kurtosis2.117453201
Mean2.403784284
Median Absolute Deviation (MAD)0
Skewness-0.3075330851
Sum2498503
Variance0.800196608
MonotonicityNot monotonic
2025-05-10T13:44:41.566327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 672414
28.3%
1 262829
 
11.0%
2 102579
 
4.3%
9 1100
 
< 0.1%
7 482
 
< 0.1%
(Missing) 1340643
56.3%
ValueCountFrequency (%)
1 262829
 
11.0%
2 102579
 
4.3%
3 672414
28.3%
7 482
 
< 0.1%
9 1100
 
< 0.1%
ValueCountFrequency (%)
9 1100
 
< 0.1%
7 482
 
< 0.1%
3 672414
28.3%
2 102579
 
4.3%
1 262829
 
11.0%

STOPSMK2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2014870
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean1.449343743
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.596946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6085104541
Coefficient of variation (CV)0.4198524036
Kurtosis34.13395587
Mean1.449343743
Median Absolute Deviation (MAD)0
Skewness3.576693797
Sum529267
Variance0.3702849728
MonotonicityNot monotonic
2025-05-10T13:44:41.627529image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 207906
 
8.7%
2 156020
 
6.6%
7 969
 
< 0.1%
9 282
 
< 0.1%
(Missing) 2014870
84.7%
ValueCountFrequency (%)
1 207906
8.7%
2 156020
6.6%
7 969
 
< 0.1%
9 282
 
< 0.1%
ValueCountFrequency (%)
9 282
 
< 0.1%
7 969
 
< 0.1%
2 156020
6.6%
1 207906
8.7%

LASTSMK2
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing1707912
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean6.663152492
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.661292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q37
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.808822938
Coefficient of variation (CV)0.8717829805
Kurtosis154.8309226
Mean6.663152492
Median Absolute Deviation (MAD)0
Skewness12.03519231
Sum4478538
Variance33.74242393
MonotonicityNot monotonic
2025-05-10T13:44:41.693236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 447093
 
18.8%
5 86060
 
3.6%
6 67274
 
2.8%
4 22497
 
0.9%
1 14269
 
0.6%
3 14143
 
0.6%
2 13390
 
0.6%
8 3482
 
0.1%
77 3416
 
0.1%
99 511
 
< 0.1%
(Missing) 1707912
71.8%
ValueCountFrequency (%)
1 14269
 
0.6%
2 13390
 
0.6%
3 14143
 
0.6%
4 22497
 
0.9%
5 86060
3.6%
ValueCountFrequency (%)
99 511
 
< 0.1%
77 3416
 
0.1%
8 3482
 
0.1%
7 447093
18.8%
6 67274
 
2.8%

USENOW3
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing52607
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean2.967651583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.721868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4207600506
Coefficient of variation (CV)0.1417821597
Kurtosis113.3564367
Mean2.967651583
Median Absolute Deviation (MAD)0
Skewness5.655293016
Sum6907031
Variance0.1770390202
MonotonicityNot monotonic
2025-05-10T13:44:41.752818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 2248438
94.5%
1 40582
 
1.7%
2 31871
 
1.3%
9 5775
 
0.2%
7 774
 
< 0.1%
(Missing) 52607
 
2.2%
ValueCountFrequency (%)
1 40582
 
1.7%
2 31871
 
1.3%
3 2248438
94.5%
7 774
 
< 0.1%
9 5775
 
0.2%
ValueCountFrequency (%)
9 5775
 
0.2%
7 774
 
< 0.1%
3 2248438
94.5%
2 31871
 
1.3%
1 40582
 
1.7%

ALCDAY5
Real number (ℝ)

Missing 

Distinct47
Distinct (%)< 0.1%
Missing84101
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean534.9579581
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.790577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median777
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation357.2911897
Coefficient of variation (CV)0.667886484
Kurtosis-1.953537388
Mean534.9579581
Median Absolute Deviation (MAD)222
Skewness-0.03721409008
Sum1228234584
Variance127656.9942
MonotonicityNot monotonic
2025-05-10T13:44:41.828669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
888 1124400
47.2%
201 178087
 
7.5%
202 137070
 
5.8%
101 96512
 
4.1%
102 77102
 
3.2%
203 76378
 
3.2%
230 73693
 
3.1%
204 63449
 
2.7%
205 60507
 
2.5%
103 53106
 
2.2%
Other values (37) 355642
 
14.9%
(Missing) 84101
 
3.5%
ValueCountFrequency (%)
101 96512
4.1%
102 77102
3.2%
103 53106
2.2%
104 24437
 
1.0%
105 24360
 
1.0%
ValueCountFrequency (%)
999 16013
 
0.7%
888 1124400
47.2%
777 14943
 
0.6%
260 1
 
< 0.1%
232 1
 
< 0.1%

AVEDRNK2
Real number (ℝ)

Missing 

Distinct62
Distinct (%)< 0.1%
Missing1241557
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean3.454790117
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.869223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.29627592
Coefficient of variation (CV)2.980289851
Kurtosis55.51576323
Mean3.454790117
Median Absolute Deviation (MAD)1
Skewness7.392718191
Sum3933244
Variance106.0132979
MonotonicityNot monotonic
2025-05-10T13:44:41.909383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 520780
21.9%
2 335049
 
14.1%
3 124887
 
5.2%
4 52584
 
2.2%
5 27982
 
1.2%
6 27660
 
1.2%
77 14250
 
0.6%
8 7215
 
0.3%
10 7078
 
0.3%
12 5606
 
0.2%
Other values (52) 15399
 
0.6%
(Missing) 1241557
52.2%
ValueCountFrequency (%)
1 520780
21.9%
2 335049
14.1%
3 124887
 
5.2%
4 52584
 
2.2%
5 27982
 
1.2%
ValueCountFrequency (%)
99 3931
 
0.2%
88 1
 
< 0.1%
77 14250
0.6%
76 41
 
< 0.1%
75 3
 
< 0.1%

DRNK3GE5
Real number (ℝ)

Missing 

Distinct56
Distinct (%)< 0.1%
Missing1243227
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean67.25624637
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:41.948660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q177
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)11

Descriptive statistics

Standard deviation36.20013328
Coefficient of variation (CV)0.5382419512
Kurtosis-0.5520707409
Mean67.25624637
Median Absolute Deviation (MAD)0
Skewness-1.191725383
Sum76458246
Variance1310.449649
MonotonicityNot monotonic
2025-05-10T13:44:41.989589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 840851
35.3%
1 102905
 
4.3%
2 58755
 
2.5%
4 26545
 
1.1%
3 26473
 
1.1%
5 17922
 
0.8%
77 12421
 
0.5%
10 8838
 
0.4%
30 8292
 
0.3%
6 6993
 
0.3%
Other values (46) 26825
 
1.1%
(Missing) 1243227
52.2%
ValueCountFrequency (%)
1 102905
4.3%
2 58755
2.5%
3 26473
 
1.1%
4 26545
 
1.1%
5 17922
 
0.8%
ValueCountFrequency (%)
99 3227
 
0.1%
88 840851
35.3%
77 12421
 
0.5%
76 29
 
< 0.1%
70 2
 
< 0.1%

MAXDRNKS
Real number (ℝ)

Missing 

Distinct74
Distinct (%)< 0.1%
Missing1244871
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean5.626153125
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.029482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.88796826
Coefficient of variation (CV)2.4684661
Kurtosis25.76893386
Mean5.626153125
Median Absolute Deviation (MAD)1
Skewness5.116518947
Sum6386674
Variance192.8756624
MonotonicityNot monotonic
2025-05-10T13:44:42.070681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 308263
 
13.0%
1 306992
 
12.9%
3 177131
 
7.4%
4 91441
 
3.8%
5 64030
 
2.7%
6 54248
 
2.3%
77 29443
 
1.2%
8 22373
 
0.9%
10 20785
 
0.9%
7 17755
 
0.7%
Other values (64) 42715
 
1.8%
(Missing) 1244871
52.3%
ValueCountFrequency (%)
1 306992
12.9%
2 308263
13.0%
3 177131
7.4%
4 91441
 
3.8%
5 64030
 
2.7%
ValueCountFrequency (%)
99 5873
 
0.2%
77 29443
1.2%
76 23
 
< 0.1%
75 5
 
< 0.1%
74 1
 
< 0.1%

FRUITJU1
Real number (ℝ)

Missing 

Distinct149
Distinct (%)< 0.1%
Missing957575
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean353.2187924
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.110497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1202
median305
Q3555
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)353

Descriptive statistics

Standard deviation195.645181
Coefficient of variation (CV)0.553892333
Kurtosis-0.7142581339
Mean353.2187924
Median Absolute Deviation (MAD)204
Skewness0.3456464198
Sum502443842
Variance38277.03683
MonotonicityNot monotonic
2025-05-10T13:44:42.150067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 518315
21.8%
101 230214
 
9.7%
202 66018
 
2.8%
302 60624
 
2.5%
201 58618
 
2.5%
203 57821
 
2.4%
301 48683
 
2.0%
303 38124
 
1.6%
305 36392
 
1.5%
102 36307
 
1.5%
Other values (139) 271356
 
11.4%
(Missing) 957575
40.2%
ValueCountFrequency (%)
101 230214
9.7%
102 36307
 
1.5%
103 12093
 
0.5%
104 3183
 
0.1%
105 2055
 
0.1%
ValueCountFrequency (%)
999 9923
 
0.4%
777 28168
 
1.2%
555 518315
21.8%
399 57
 
< 0.1%
395 1
 
< 0.1%

FRUIT1
Real number (ℝ)

Missing 

Distinct170
Distinct (%)< 0.1%
Missing960709
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean210.9424661
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.189363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median202
Q3304
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)203

Descriptive statistics

Standard deviation144.2355267
Coefficient of variation (CV)0.6837671394
Kurtosis7.379864567
Mean210.9424661
Median Absolute Deviation (MAD)101
Skewness2.256328499
Sum299398658
Variance20803.88715
MonotonicityNot monotonic
2025-05-10T13:44:42.228752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 356349
 
15.0%
102 189562
 
8.0%
203 91431
 
3.8%
202 73309
 
3.1%
103 73011
 
3.1%
555 54464
 
2.3%
204 51076
 
2.1%
320 46328
 
1.9%
201 43879
 
1.8%
315 43205
 
1.8%
Other values (160) 396724
16.7%
(Missing) 960709
40.4%
ValueCountFrequency (%)
101 356349
15.0%
102 189562
8.0%
103 73011
 
3.1%
104 16219
 
0.7%
105 8218
 
0.3%
ValueCountFrequency (%)
999 9630
 
0.4%
777 17173
 
0.7%
555 54464
2.3%
399 183
 
< 0.1%
398 2
 
< 0.1%

FVBEANS
Real number (ℝ)

Missing 

Distinct142
Distinct (%)< 0.1%
Missing964100
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean314.4724146
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.268604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median302
Q3312
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)110

Descriptive statistics

Standard deviation152.3108592
Coefficient of variation (CV)0.484337742
Kurtosis2.540185202
Mean314.4724146
Median Absolute Deviation (MAD)99
Skewness1.456152411
Sum445276272
Variance23198.59782
MonotonicityNot monotonic
2025-05-10T13:44:42.307757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 234287
 
9.8%
201 154490
 
6.5%
202 142366
 
6.0%
302 115221
 
4.8%
203 100464
 
4.2%
301 77227
 
3.2%
303 72187
 
3.0%
305 69818
 
2.9%
101 63798
 
2.7%
304 58988
 
2.5%
Other values (132) 327101
 
13.7%
(Missing) 964100
40.5%
ValueCountFrequency (%)
101 63798
2.7%
102 12509
 
0.5%
103 3307
 
0.1%
104 817
 
< 0.1%
105 649
 
< 0.1%
ValueCountFrequency (%)
999 9379
 
0.4%
777 24845
 
1.0%
555 234287
9.8%
399 27
 
< 0.1%
395 1
 
< 0.1%

FVGREEN
Real number (ℝ)

Missing 

Distinct154
Distinct (%)< 0.1%
Missing966838
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean260.3595335
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.346534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1201
median205
Q3310
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)109

Descriptive statistics

Standard deviation141.8165894
Coefficient of variation (CV)0.5446952048
Kurtosis5.539937213
Mean260.3595335
Median Absolute Deviation (MAD)100
Skewness1.881261977
Sum367942436
Variance20111.94504
MonotonicityNot monotonic
2025-05-10T13:44:42.386685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 196301
 
8.2%
203 135206
 
5.7%
202 128586
 
5.4%
555 109856
 
4.6%
201 98479
 
4.1%
204 76800
 
3.2%
320 60037
 
2.5%
315 55846
 
2.3%
205 55798
 
2.3%
310 55442
 
2.3%
Other values (144) 440858
18.5%
(Missing) 966838
40.6%
ValueCountFrequency (%)
101 196301
8.2%
102 54129
 
2.3%
103 10231
 
0.4%
104 2351
 
0.1%
105 1679
 
0.1%
ValueCountFrequency (%)
999 9427
 
0.4%
777 14994
 
0.6%
555 109856
4.6%
399 90
 
< 0.1%
398 1
 
< 0.1%

FVORANG
Real number (ℝ)

Missing 

Distinct129
Distinct (%)< 0.1%
Missing969047
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean301.1607938
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.426095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1202
median302
Q3310
95-th percentile555
Maximum999
Range898
Interquartile range (IQR)108

Descriptive statistics

Standard deviation145.8700447
Coefficient of variation (CV)0.4843593445
Kurtosis3.425725519
Mean301.1607938
Median Absolute Deviation (MAD)99
Skewness1.59988671
Sum424937880
Variance21278.06993
MonotonicityNot monotonic
2025-05-10T13:44:42.465001image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
555 199710
 
8.4%
201 177589
 
7.5%
202 148212
 
6.2%
302 109400
 
4.6%
203 100854
 
4.2%
101 80445
 
3.4%
301 77469
 
3.3%
305 74609
 
3.1%
310 64341
 
2.7%
303 64014
 
2.7%
Other values (119) 314357
 
13.2%
(Missing) 969047
40.7%
ValueCountFrequency (%)
101 80445
3.4%
102 11798
 
0.5%
103 2904
 
0.1%
104 794
 
< 0.1%
105 586
 
< 0.1%
ValueCountFrequency (%)
999 9250
 
0.4%
777 17167
 
0.7%
555 199710
8.4%
399 18
 
< 0.1%
397 1
 
< 0.1%

VEGETAB1
Real number (ℝ)

Missing 

Distinct165
Distinct (%)< 0.1%
Missing971961
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean224.3711556
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.504483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1102
median203
Q3310
95-th percentile330
Maximum999
Range898
Interquartile range (IQR)208

Descriptive statistics

Standard deviation136.3854263
Coefficient of variation (CV)0.6078563261
Kurtosis9.441974938
Mean224.3711556
Median Absolute Deviation (MAD)102
Skewness2.401963328
Sum315933883
Variance18600.98451
MonotonicityNot monotonic
2025-05-10T13:44:42.543653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 337448
 
14.2%
203 113178
 
4.8%
102 110309
 
4.6%
202 90933
 
3.8%
204 73921
 
3.1%
320 73410
 
3.1%
330 64290
 
2.7%
205 59471
 
2.5%
315 56065
 
2.4%
201 52835
 
2.2%
Other values (155) 376226
 
15.8%
(Missing) 971961
40.8%
ValueCountFrequency (%)
101 337448
14.2%
102 110309
 
4.6%
103 20049
 
0.8%
104 4280
 
0.2%
105 2464
 
0.1%
ValueCountFrequency (%)
999 10437
0.4%
777 20053
0.8%
555 24290
1.0%
399 210
 
< 0.1%
398 1
 
< 0.1%

EXERANY2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing87497
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean1.294734248
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.574230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6647502558
Coefficient of variation (CV)0.513426023
Kurtosis67.91347868
Mean1.294734248
Median Absolute Deviation (MAD)0
Skewness6.521351668
Sum2968243
Variance0.4418929025
MonotonicityNot monotonic
2025-05-10T13:44:42.604244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 8168
 
0.3%
7 2637
 
0.1%
(Missing) 87497
 
3.7%
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
7 2637
 
0.1%
9 8168
 
0.3%
ValueCountFrequency (%)
9 8168
 
0.3%
7 2637
 
0.1%
2 594527
 
25.0%
1 1687218
70.9%

EXRACT11
Real number (ℝ)

Missing 

Distinct77
Distinct (%)< 0.1%
Missing1752119
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean52.16269381
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.642037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q137
median64
Q364
95-th percentile76
Maximum99
Range98
Interquartile range (IQR)27

Descriptive statistics

Standard deviation23.75572756
Coefficient of variation (CV)0.455416042
Kurtosis-0.3726961507
Mean52.16269381
Median Absolute Deviation (MAD)0
Skewness-0.6904872469
Sum32754416
Variance564.3345918
MonotonicityNot monotonic
2025-05-10T13:44:42.684039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 341355
 
14.3%
37 42791
 
1.8%
18 36280
 
1.5%
98 26151
 
1.1%
67 21148
 
0.9%
7 15895
 
0.7%
2 15201
 
0.6%
6 13932
 
0.6%
15 10675
 
0.4%
76 9776
 
0.4%
Other values (67) 94724
 
4.0%
(Missing) 1752119
73.6%
ValueCountFrequency (%)
1 461
 
< 0.1%
2 15201
0.6%
3 67
 
< 0.1%
4 78
 
< 0.1%
5 4022
 
0.2%
ValueCountFrequency (%)
99 871
 
< 0.1%
98 26151
1.1%
77 1699
 
0.1%
76 9776
 
0.4%
75 409
 
< 0.1%

EXEROFT1
Real number (ℝ)

Missing 

Distinct151
Distinct (%)< 0.1%
Missing1404978
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean140.5601963
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.724526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1103
median105
Q3203
95-th percentile230
Maximum999
Range898
Interquartile range (IQR)100

Descriptive statistics

Standard deviation81.06645052
Coefficient of variation (CV)0.5767383134
Kurtosis43.78930059
Mean140.5601963
Median Absolute Deviation (MAD)2
Skewness5.476071093
Sum137055890
Variance6571.769401
MonotonicityNot monotonic
2025-05-10T13:44:42.765247image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103 176955
 
7.4%
107 122079
 
5.1%
102 115923
 
4.9%
105 94795
 
4.0%
104 87648
 
3.7%
101 58708
 
2.5%
230 45816
 
1.9%
106 32396
 
1.4%
220 28577
 
1.2%
215 23530
 
1.0%
Other values (141) 188642
 
7.9%
(Missing) 1404978
59.0%
ValueCountFrequency (%)
101 58708
 
2.5%
102 115923
4.9%
103 176955
7.4%
104 87648
3.7%
105 94795
4.0%
ValueCountFrequency (%)
999 1439
 
0.1%
777 7181
0.3%
299 118
 
< 0.1%
298 1
 
< 0.1%
296 1
 
< 0.1%

EXERHMM1
Real number (ℝ)

Missing 

Distinct275
Distinct (%)< 0.1%
Missing1406740
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean105.9443608
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.806026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q130
median45
Q3100
95-th percentile400
Maximum999
Range998
Interquartile range (IQR)70

Descriptive statistics

Standard deviation147.0162399
Coefficient of variation (CV)1.387674046
Kurtosis11.21265536
Mean105.9443608
Median Absolute Deviation (MAD)30
Skewness3.167223321
Sum103116388
Variance21613.77478
MonotonicityNot monotonic
2025-05-10T13:44:42.847473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 244920
 
10.3%
100 213414
 
9.0%
45 94911
 
4.0%
20 69792
 
2.9%
200 65039
 
2.7%
130 42155
 
1.8%
15 38502
 
1.6%
40 31752
 
1.3%
300 26491
 
1.1%
400 20685
 
0.9%
Other values (265) 125646
 
5.3%
(Missing) 1406740
59.1%
ValueCountFrequency (%)
1 3248
0.1%
2 1942
0.1%
3 1193
 
0.1%
4 1050
 
< 0.1%
5 4085
0.2%
ValueCountFrequency (%)
999 1162
< 0.1%
959 391
 
< 0.1%
956 1
 
< 0.1%
955 2
 
< 0.1%
950 6
 
< 0.1%

EXRACT21
Real number (ℝ)

Missing 

Distinct78
Distinct (%)< 0.1%
Missing1757137
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean62.83422966
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.888138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q144
median69
Q388
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)44

Descriptive statistics

Standard deviation29.04773079
Coefficient of variation (CV)0.4622915081
Kurtosis-0.6922822674
Mean62.83422966
Median Absolute Deviation (MAD)19
Skewness-0.8096980791
Sum39140070
Variance843.770664
MonotonicityNot monotonic
2025-05-10T13:44:42.928216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 201792
 
8.5%
64 85706
 
3.6%
67 36662
 
1.5%
98 33044
 
1.4%
18 29772
 
1.3%
73 29347
 
1.2%
76 20455
 
0.9%
37 18589
 
0.8%
7 17432
 
0.7%
6 12387
 
0.5%
Other values (68) 137724
 
5.8%
(Missing) 1757137
73.8%
ValueCountFrequency (%)
1 722
 
< 0.1%
2 9934
0.4%
3 61
 
< 0.1%
4 112
 
< 0.1%
5 4409
0.2%
ValueCountFrequency (%)
99 1782
 
0.1%
98 33044
 
1.4%
88 201792
8.5%
77 5833
 
0.2%
76 20455
 
0.9%

EXEROFT2
Real number (ℝ)

Missing 

Distinct143
Distinct (%)< 0.1%
Missing1751140
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean145.3173585
Minimum2
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:42.968451image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile101
Q1102
median104
Q3203
95-th percentile225
Maximum999
Range997
Interquartile range (IQR)101

Descriptive statistics

Standard deviation85.905158
Coefficient of variation (CV)0.5911555155
Kurtosis39.94689947
Mean145.3173585
Median Absolute Deviation (MAD)3
Skewness5.296140273
Sum91391104
Variance7379.69617
MonotonicityNot monotonic
2025-05-10T13:44:43.010074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 111169
 
4.7%
103 93366
 
3.9%
101 84333
 
3.5%
107 51213
 
2.2%
104 32389
 
1.4%
105 32315
 
1.4%
202 27173
 
1.1%
204 23597
 
1.0%
230 21533
 
0.9%
203 19894
 
0.8%
Other values (133) 131925
 
5.5%
(Missing) 1751140
73.6%
ValueCountFrequency (%)
2 1
 
< 0.1%
101 84333
3.5%
102 111169
4.7%
103 93366
3.9%
104 32389
 
1.4%
ValueCountFrequency (%)
999 1084
 
< 0.1%
777 5587
0.2%
299 130
 
< 0.1%
298 1
 
< 0.1%
295 1
 
< 0.1%

EXERHMM2
Real number (ℝ)

Missing 

Distinct258
Distinct (%)< 0.1%
Missing1754641
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean122.78997
Minimum5.397605347 × 10-79
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.049711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile11
Q130
median45
Q3130
95-th percentile430
Maximum999
Range999
Interquartile range (IQR)100

Descriptive statistics

Standard deviation164.4587254
Coefficient of variation (CV)1.339349829
Kurtosis7.812702624
Mean122.78997
Median Absolute Deviation (MAD)40
Skewness2.680152618
Sum76793584
Variance27046.67236
MonotonicityNot monotonic
2025-05-10T13:44:43.257368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 137104
 
5.8%
100 134232
 
5.6%
200 57621
 
2.4%
20 47796
 
2.0%
45 43622
 
1.8%
15 32332
 
1.4%
130 25162
 
1.1%
300 24816
 
1.0%
400 18537
 
0.8%
10 17627
 
0.7%
Other values (248) 86557
 
3.6%
(Missing) 1754641
73.7%
ValueCountFrequency (%)
5.397605347 × 10-792
 
< 0.1%
1 2399
0.1%
2 2037
0.1%
3 1361
0.1%
4 884
 
< 0.1%
ValueCountFrequency (%)
999 1235
0.1%
959 428
 
< 0.1%
955 4
 
< 0.1%
950 5
 
< 0.1%
948 1
 
< 0.1%

STRENGTH
Real number (ℝ)

Missing 

Distinct131
Distinct (%)< 0.1%
Missing1036549
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean611.0349074
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.296846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1110
median888
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)778

Descriptive statistics

Standard deviation363.6648802
Coefficient of variation (CV)0.5951622007
Kurtosis-1.653851661
Mean611.0349074
Median Absolute Deviation (MAD)0
Skewness-0.5614282248
Sum820924176
Variance132252.1451
MonotonicityNot monotonic
2025-05-10T13:44:43.335165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 831691
34.9%
103 92160
 
3.9%
102 79436
 
3.3%
101 50871
 
2.1%
107 37864
 
1.6%
105 32851
 
1.4%
104 32180
 
1.4%
202 22353
 
0.9%
205 13890
 
0.6%
210 13639
 
0.6%
Other values (121) 136563
 
5.7%
(Missing) 1036549
43.6%
ValueCountFrequency (%)
101 50871
2.1%
102 79436
3.3%
103 92160
3.9%
104 32180
 
1.4%
105 32851
 
1.4%
ValueCountFrequency (%)
999 7596
 
0.3%
888 831691
34.9%
777 8853
 
0.4%
299 39
 
< 0.1%
298 1
 
< 0.1%

LMTJOIN3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1927289
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean1.572833611
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.365123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8511980929
Coefficient of variation (CV)0.5411876292
Kurtosis35.88650521
Mean1.572833611
Median Absolute Deviation (MAD)1
Skewness4.876566753
Sum712113
Variance0.7245381934
MonotonicityNot monotonic
2025-05-10T13:44:43.394565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 224812
 
9.4%
2 222487
 
9.3%
7 3402
 
0.1%
9 2057
 
0.1%
(Missing) 1927289
81.0%
ValueCountFrequency (%)
1 224812
9.4%
2 222487
9.3%
7 3402
 
0.1%
9 2057
 
0.1%
ValueCountFrequency (%)
9 2057
 
0.1%
7 3402
 
0.1%
2 222487
9.3%
1 224812
9.4%

ARTHDIS2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1927744
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean1.849837388
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.424138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135451211
Coefficient of variation (CV)0.6138113643
Kurtosis22.4843328
Mean1.849837388
Median Absolute Deviation (MAD)0
Skewness4.350233474
Sum836687
Variance1.289249452
MonotonicityNot monotonic
2025-05-10T13:44:43.453557image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 295942
 
12.4%
1 143354
 
6.0%
7 7807
 
0.3%
9 5200
 
0.2%
(Missing) 1927744
81.0%
ValueCountFrequency (%)
1 143354
6.0%
2 295942
12.4%
7 7807
 
0.3%
9 5200
 
0.2%
ValueCountFrequency (%)
9 5200
 
0.2%
7 7807
 
0.3%
2 295942
12.4%
1 143354
6.0%

ARTHSOCL
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1928323
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean2.433835705
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.483362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9752818482
Coefficient of variation (CV)0.4007180297
Kurtosis11.45772584
Mean2.433835705
Median Absolute Deviation (MAD)0
Skewness1.660522646
Sum1099422
Variance0.9511746835
MonotonicityNot monotonic
2025-05-10T13:44:43.513673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 252146
 
10.6%
2 109860
 
4.6%
1 84932
 
3.6%
9 2415
 
0.1%
7 2371
 
0.1%
(Missing) 1928323
81.0%
ValueCountFrequency (%)
1 84932
 
3.6%
2 109860
4.6%
3 252146
10.6%
7 2371
 
0.1%
9 2415
 
0.1%
ValueCountFrequency (%)
9 2415
 
0.1%
7 2371
 
0.1%
3 252146
10.6%
2 109860
4.6%
1 84932
 
3.6%

JOINPAIN
Real number (ℝ)

Missing 

Distinct13
Distinct (%)< 0.1%
Missing1934866
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean6.48188265
Minimum5.397605347 × 10-79
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.546113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q13
median5
Q37
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.16873679
Coefficient of variation (CV)1.877346051
Kurtosis37.96217992
Mean6.48188265
Median Absolute Deviation (MAD)2
Skewness6.088368111
Sum2885611
Variance148.0781552
MonotonicityNot monotonic
2025-05-10T13:44:43.579273image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 70344
 
3.0%
3 54841
 
2.3%
4 46963
 
2.0%
2 45254
 
1.9%
8 44737
 
1.9%
7 40221
 
1.7%
6 37059
 
1.6%
5.397605347 × 10-7931408
 
1.3%
1 27392
 
1.2%
10 25407
 
1.1%
Other values (3) 21555
 
0.9%
(Missing) 1934866
81.3%
ValueCountFrequency (%)
5.397605347 × 10-7931408
1.3%
1 27392
1.2%
2 45254
1.9%
3 54841
2.3%
4 46963
2.0%
ValueCountFrequency (%)
99 3099
 
0.1%
77 6983
 
0.3%
10 25407
1.1%
9 11473
 
0.5%
8 44737
1.9%

SEATBELT
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing139316
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean1.306599944
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.608647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9880063781
Coefficient of variation (CV)0.7561659423
Kurtosis27.49812978
Mean1.306599944
Median Absolute Deviation (MAD)0
Skewness4.767460649
Sum2927739
Variance0.9761566032
MonotonicityNot monotonic
2025-05-10T13:44:43.640344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 1913361
80.4%
2 176454
 
7.4%
3 67444
 
2.8%
5 36891
 
1.6%
4 27277
 
1.1%
9 12603
 
0.5%
8 5241
 
0.2%
7 1460
 
0.1%
(Missing) 139316
 
5.9%
ValueCountFrequency (%)
1 1913361
80.4%
2 176454
 
7.4%
3 67444
 
2.8%
4 27277
 
1.1%
5 36891
 
1.6%
ValueCountFrequency (%)
9 12603
 
0.5%
8 5241
 
0.2%
7 1460
 
0.1%
5 36891
1.6%
4 27277
1.1%

FLUSHOT6
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1082462
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.583652709
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.669719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7870336542
Coefficient of variation (CV)0.496973642
Kurtosis45.47700896
Mean1.583652709
Median Absolute Deviation (MAD)0
Skewness5.221512719
Sum2054924
Variance0.6194219729
MonotonicityNot monotonic
2025-05-10T13:44:43.700705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 682279
28.7%
1 605153
25.4%
9 7071
 
0.3%
7 3082
 
0.1%
(Missing) 1082462
45.5%
ValueCountFrequency (%)
1 605153
25.4%
2 682279
28.7%
7 3082
 
0.1%
9 7071
 
0.3%
ValueCountFrequency (%)
9 7071
 
0.3%
7 3082
 
0.1%
2 682279
28.7%
1 605153
25.4%

FLSHTMY2
Real number (ℝ)

Missing 

Distinct81
Distinct (%)< 0.1%
Missing1358236
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean145994.2755
Minimum12010
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.739826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum12010
5-th percentile22013
Q1102010
median102013
Q3112011
95-th percentile777777
Maximum999999
Range987989
Interquartile range (IQR)10001

Descriptive statistics

Standard deviation179719.1968
Coefficient of variation (CV)1.231001669
Kurtosis8.842831107
Mean145994.2755
Median Absolute Deviation (MAD)9998
Skewness3.23437042
Sum1.491785567 × 1011
Variance3.22989897 × 1010
MonotonicityNot monotonic
2025-05-10T13:44:43.782942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102011 91815
 
3.9%
102013 89870
 
3.8%
102012 86121
 
3.6%
102014 84288
 
3.5%
102010 71692
 
3.0%
777777 71053
 
3.0%
112011 41770
 
1.8%
112012 40172
 
1.7%
112013 39933
 
1.7%
112010 39136
 
1.6%
Other values (71) 365961
 
15.4%
(Missing) 1358236
57.1%
ValueCountFrequency (%)
12010 151
 
< 0.1%
12011 7263
0.3%
12012 6300
0.3%
12013 10432
0.4%
12014 8132
0.3%
ValueCountFrequency (%)
999999 2407
 
0.1%
777777 71053
3.0%
122015 1007
 
< 0.1%
122014 9681
 
0.4%
122013 10448
 
0.4%

IMFVPLAC
Real number (ℝ)

Missing 

Distinct13
Distinct (%)< 0.1%
Missing1724684
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean4.14129574
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.818453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.610848498
Coefficient of variation (CV)1.354853372
Kurtosis149.1216461
Mean4.14129574
Median Absolute Deviation (MAD)2
Skewness10.61362015
Sum2714052
Variance31.48162087
MonotonicityNot monotonic
2025-05-10T13:44:43.850864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 254207
 
10.7%
5 140900
 
5.9%
8 95647
 
4.0%
3 60755
 
2.6%
6 42203
 
1.8%
9 21044
 
0.9%
2 20689
 
0.9%
4 10512
 
0.4%
11 6110
 
0.3%
77 2070
 
0.1%
Other values (3) 1226
 
0.1%
(Missing) 1724684
72.5%
ValueCountFrequency (%)
1 254207
10.7%
2 20689
 
0.9%
3 60755
 
2.6%
4 10512
 
0.4%
5 140900
5.9%
ValueCountFrequency (%)
99 499
 
< 0.1%
77 2070
 
0.1%
11 6110
 
0.3%
10 258
 
< 0.1%
9 21044
0.9%

PNEUVAC3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing141691
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.109334261
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.879201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.669319223
Coefficient of variation (CV)0.7913962493
Kurtosis5.042525815
Mean2.109334261
Median Absolute Deviation (MAD)0
Skewness2.458080357
Sum4721441
Variance2.786626668
MonotonicityNot monotonic
2025-05-10T13:44:43.909516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1220227
51.3%
1 811708
34.1%
7 194255
 
8.2%
9 12166
 
0.5%
(Missing) 141691
 
6.0%
ValueCountFrequency (%)
1 811708
34.1%
2 1220227
51.3%
7 194255
 
8.2%
9 12166
 
0.5%
ValueCountFrequency (%)
9 12166
 
0.5%
7 194255
 
8.2%
2 1220227
51.3%
1 811708
34.1%

HIVTST6
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing165813
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1.914839172
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:43.938292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173460805
Coefficient of variation (CV)0.6128247335
Kurtosis17.83060444
Mean1.914839172
Median Absolute Deviation (MAD)0
Skewness3.945001566
Sum4239902
Variance1.377010262
MonotonicityNot monotonic
2025-05-10T13:44:43.968215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1507994
63.4%
1 625964
26.3%
7 62267
 
2.6%
9 18009
 
0.8%
(Missing) 165813
 
7.0%
ValueCountFrequency (%)
1 625964
26.3%
2 1507994
63.4%
7 62267
 
2.6%
9 18009
 
0.8%
ValueCountFrequency (%)
9 18009
 
0.8%
7 62267
 
2.6%
2 1507994
63.4%
1 625964
26.3%

HIVTSTD3
Real number (ℝ)

Missing 

Distinct479
Distinct (%)0.1%
Missing1754536
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean398726.0978
Minimum11985
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.006457image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11985
5-th percentile12015
Q162008
median112015
Q3772012
95-th percentile777777
Maximum999999
Range988014
Interquartile range (IQR)710004

Descriptive statistics

Standard deviation356320.6124
Coefficient of variation (CV)0.89364758
Kurtosis-1.959432338
Mean398726.0978
Median Absolute Deviation (MAD)100004
Skewness0.1130114387
Sum2.494075602 × 1011
Variance1.269643788 × 1011
MonotonicityNot monotonic
2025-05-10T13:44:44.049036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
777777 135496
 
5.7%
772010 12900
 
0.5%
772009 10340
 
0.4%
772011 9877
 
0.4%
772012 8973
 
0.4%
772008 8547
 
0.4%
772005 7475
 
0.3%
772000 7167
 
0.3%
772007 7097
 
0.3%
772006 6499
 
0.3%
Other values (469) 411140
 
17.3%
(Missing) 1754536
73.7%
ValueCountFrequency (%)
11985 91
< 0.1%
11986 77
< 0.1%
11987 95
< 0.1%
11988 138
< 0.1%
11989 166
< 0.1%
ValueCountFrequency (%)
999999 2109
 
0.1%
777777 135496
5.7%
772016 1
 
< 0.1%
772015 715
 
< 0.1%
772014 3671
 
0.2%

WHRTST10
Real number (ℝ)

Missing 

Distinct11
Distinct (%)< 0.1%
Missing2017928
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean4.74557535
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.083573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.51666899
Coefficient of variation (CV)2.42682249
Kurtosis41.66272685
Mean4.74557535
Median Absolute Deviation (MAD)2
Skewness6.393874045
Sum1718463
Variance132.6336646
MonotonicityNot monotonic
2025-05-10T13:44:44.115698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 163155
 
6.9%
4 78650
 
3.3%
8 42429
 
1.8%
3 34879
 
1.5%
2 13393
 
0.6%
7 9540
 
0.4%
9 6511
 
0.3%
77 5969
 
0.3%
5 4196
 
0.2%
6 1854
 
0.1%
(Missing) 2017928
84.8%
ValueCountFrequency (%)
1 163155
6.9%
2 13393
 
0.6%
3 34879
 
1.5%
4 78650
3.3%
5 4196
 
0.2%
ValueCountFrequency (%)
99 1543
 
0.1%
77 5969
 
0.3%
9 6511
 
0.3%
8 42429
1.8%
7 9540
 
0.4%

PDIABTST
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1448339
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean1.622751978
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.144310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232540335
Coefficient of variation (CV)0.7595371023
Kurtosis12.92120374
Mean1.622751978
Median Absolute Deviation (MAD)0
Skewness3.525470079
Sum1511931
Variance1.519155678
MonotonicityNot monotonic
2025-05-10T13:44:44.175083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 549575
 
23.1%
2 342743
 
14.4%
7 38820
 
1.6%
9 570
 
< 0.1%
(Missing) 1448339
60.9%
ValueCountFrequency (%)
1 549575
23.1%
2 342743
14.4%
7 38820
 
1.6%
9 570
 
< 0.1%
ValueCountFrequency (%)
9 570
 
< 0.1%
7 38820
 
1.6%
2 342743
14.4%
1 549575
23.1%

PREDIAB1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1448676
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean2.817387486
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.204810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6560959237
Coefficient of variation (CV)0.2328738688
Kurtosis12.67475355
Mean2.817387486
Median Absolute Deviation (MAD)0
Skewness-0.6330256741
Sum2624033
Variance0.4304618611
MonotonicityNot monotonic
2025-05-10T13:44:44.235662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 828844
34.8%
1 87502
 
3.7%
2 11238
 
0.5%
7 3280
 
0.1%
9 507
 
< 0.1%
(Missing) 1448676
60.9%
ValueCountFrequency (%)
1 87502
 
3.7%
2 11238
 
0.5%
3 828844
34.8%
7 3280
 
0.1%
9 507
 
< 0.1%
ValueCountFrequency (%)
9 507
 
< 0.1%
7 3280
 
0.1%
3 828844
34.8%
2 11238
 
0.5%
1 87502
 
3.7%

INSULIN
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2240453
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1.696161726
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.265173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5371647904
Coefficient of variation (CV)0.3166943235
Kurtosis44.96879883
Mean1.696161726
Median Absolute Deviation (MAD)0
Skewness2.899243364
Sum236774
Variance0.288546012
MonotonicityNot monotonic
2025-05-10T13:44:44.296282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 95644
 
4.0%
1 43758
 
1.8%
9 192
 
< 0.1%
(Missing) 2240453
94.1%
ValueCountFrequency (%)
1 43758
1.8%
2 95644
4.0%
9 192
 
< 0.1%
ValueCountFrequency (%)
9 192
 
< 0.1%
2 95644
4.0%
1 43758
1.8%

BLDSUGAR
Real number (ℝ)

Missing 

Distinct119
Distinct (%)0.1%
Missing2240449
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean242.0925085
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.336577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median103
Q3203
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)102

Descriptive statistics

Standard deviation261.6688234
Coefficient of variation (CV)1.080862952
Kurtosis1.904793337
Mean242.0925085
Median Absolute Deviation (MAD)2
Skewness1.885648106
Sum33795630
Variance68470.57312
MonotonicityNot monotonic
2025-05-10T13:44:44.378085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 35852
 
1.5%
102 26656
 
1.1%
888 16650
 
0.7%
103 13051
 
0.5%
201 7269
 
0.3%
104 7225
 
0.3%
203 6099
 
0.3%
202 5422
 
0.2%
301 3507
 
0.1%
204 2610
 
0.1%
Other values (109) 15257
 
0.6%
(Missing) 2240449
94.1%
ValueCountFrequency (%)
101 35852
1.5%
102 26656
1.1%
103 13051
 
0.5%
104 7225
 
0.3%
105 1796
 
0.1%
ValueCountFrequency (%)
999 351
 
< 0.1%
888 16650
0.7%
777 1966
 
0.1%
499 16
 
< 0.1%
490 3
 
< 0.1%

FEETCHK2
Real number (ℝ)

Missing 

Distinct108
Distinct (%)0.1%
Missing2240454
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean260.6935663
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.417725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median101
Q3205
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)104

Descriptive statistics

Standard deviation279.786247
Coefficient of variation (CV)1.07323802
Kurtosis0.9281057369
Mean260.6935663
Median Absolute Deviation (MAD)0
Skewness1.629803405
Sum36390997
Variance78280.344
MonotonicityNot monotonic
2025-05-10T13:44:44.457945image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 75227
 
3.2%
888 18525
 
0.8%
201 10560
 
0.4%
102 6905
 
0.3%
202 4074
 
0.2%
301 3936
 
0.2%
203 3607
 
0.2%
777 3511
 
0.1%
204 1524
 
0.1%
207 1519
 
0.1%
Other values (98) 10205
 
0.4%
(Missing) 2240454
94.1%
ValueCountFrequency (%)
101 75227
3.2%
102 6905
 
0.3%
103 1345
 
0.1%
104 386
 
< 0.1%
105 334
 
< 0.1%
ValueCountFrequency (%)
999 600
 
< 0.1%
888 18525
0.8%
777 3511
 
0.1%
555 998
 
< 0.1%
499 24
 
< 0.1%

DOCTDIAB
Real number (ℝ)

Missing 

Distinct60
Distinct (%)< 0.1%
Missing2240459
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean15.61710176
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.499039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation28.96091779
Coefficient of variation (CV)1.854436133
Kurtosis2.115327343
Mean15.61710176
Median Absolute Deviation (MAD)2
Skewness2.000921402
Sum2179960
Variance838.7347594
MonotonicityNot monotonic
2025-05-10T13:44:44.540972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 36421
 
1.5%
2 26498
 
1.1%
1 18785
 
0.8%
3 18574
 
0.8%
88 14459
 
0.6%
12 5984
 
0.3%
6 5342
 
0.2%
77 4721
 
0.2%
5 3023
 
0.1%
8 1141
 
< 0.1%
Other values (50) 4640
 
0.2%
(Missing) 2240459
94.1%
ValueCountFrequency (%)
1 18785
0.8%
2 26498
1.1%
3 18574
0.8%
4 36421
1.5%
5 3023
 
0.1%
ValueCountFrequency (%)
99 691
 
< 0.1%
88 14459
0.6%
77 4721
 
0.2%
76 114
 
< 0.1%
72 2
 
< 0.1%

CHKHEMO3
Real number (ℝ)

Missing 

Distinct60
Distinct (%)< 0.1%
Missing2240463
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean17.95420679
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.581888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation32.09486684
Coefficient of variation (CV)1.787595922
Kurtosis0.928425699
Mean17.95420679
Median Absolute Deviation (MAD)1
Skewness1.68195703
Sum2506120
Variance1030.080477
MonotonicityNot monotonic
2025-05-10T13:44:44.623572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 34553
 
1.5%
4 32050
 
1.3%
1 21061
 
0.9%
3 19968
 
0.8%
77 10454
 
0.4%
88 9524
 
0.4%
98 4825
 
0.2%
6 2285
 
0.1%
12 1536
 
0.1%
5 1381
 
0.1%
Other values (50) 1947
 
0.1%
(Missing) 2240463
94.1%
ValueCountFrequency (%)
1 21061
0.9%
2 34553
1.5%
3 19968
0.8%
4 32050
1.3%
5 1381
 
0.1%
ValueCountFrequency (%)
99 467
 
< 0.1%
98 4825
0.2%
88 9524
0.4%
77 10454
0.4%
76 66
 
< 0.1%

FEETCHK
Real number (ℝ)

Missing 

Distinct63
Distinct (%)< 0.1%
Missing2241466
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean27.04546078
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.665051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation37.90056108
Coefficient of variation (CV)1.401364961
Kurtosis-1.075174269
Mean27.04546078
Median Absolute Deviation (MAD)3
Skewness0.9451462305
Sum3747987
Variance1436.45253
MonotonicityNot monotonic
2025-05-10T13:44:44.707327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 34563
 
1.5%
1 27942
 
1.2%
2 24628
 
1.0%
4 21811
 
0.9%
3 12528
 
0.5%
6 4171
 
0.2%
77 4119
 
0.2%
12 3111
 
0.1%
5 1834
 
0.1%
8 686
 
< 0.1%
Other values (53) 3188
 
0.1%
(Missing) 2241466
94.2%
ValueCountFrequency (%)
1 27942
1.2%
2 24628
1.0%
3 12528
0.5%
4 21811
0.9%
5 1834
 
0.1%
ValueCountFrequency (%)
99 437
 
< 0.1%
88 34563
1.5%
77 4119
 
0.2%
76 210
 
< 0.1%
75 1
 
< 0.1%

EYEEXAM
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2240471
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean2.461934717
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.740265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.495307028
Coefficient of variation (CV)0.6073707063
Kurtosis5.220558509
Mean2.461934717
Median Absolute Deviation (MAD)1
Skewness2.129047451
Sum343627
Variance2.235943107
MonotonicityNot monotonic
2025-05-10T13:44:44.771137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 69206
 
2.9%
1 27905
 
1.2%
3 17991
 
0.8%
4 17628
 
0.7%
8 4529
 
0.2%
7 2130
 
0.1%
9 187
 
< 0.1%
(Missing) 2240471
94.1%
ValueCountFrequency (%)
1 27905
1.2%
2 69206
2.9%
3 17991
 
0.8%
4 17628
 
0.7%
7 2130
 
0.1%
ValueCountFrequency (%)
9 187
 
< 0.1%
8 4529
 
0.2%
7 2130
 
0.1%
4 17628
0.7%
3 17991
0.8%

DIABEYE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2240478
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1.881399165
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.801908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7275618676
Coefficient of variation (CV)0.3867131873
Kurtosis35.71446018
Mean1.881399165
Median Absolute Deviation (MAD)0
Skewness4.826789091
Sum262585
Variance0.5293462711
MonotonicityNot monotonic
2025-05-10T13:44:44.832902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 111510
 
4.7%
1 26178
 
1.1%
7 1771
 
0.1%
9 110
 
< 0.1%
(Missing) 2240478
94.1%
ValueCountFrequency (%)
1 26178
 
1.1%
2 111510
4.7%
7 1771
 
0.1%
9 110
 
< 0.1%
ValueCountFrequency (%)
9 110
 
< 0.1%
7 1771
 
0.1%
2 111510
4.7%
1 26178
 
1.1%

DIABEDU
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2240478
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1.48215578
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.862912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6284244085
Coefficient of variation (CV)0.4239934946
Kurtosis32.89879185
Mean1.48215578
Median Absolute Deviation (MAD)0
Skewness3.609267649
Sum206863
Variance0.3949172373
MonotonicityNot monotonic
2025-05-10T13:44:44.895383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 75420
 
3.2%
2 63560
 
2.7%
7 489
 
< 0.1%
9 100
 
< 0.1%
(Missing) 2240478
94.1%
ValueCountFrequency (%)
1 75420
3.2%
2 63560
2.7%
7 489
 
< 0.1%
9 100
 
< 0.1%
ValueCountFrequency (%)
9 100
 
< 0.1%
7 489
 
< 0.1%
2 63560
2.7%
1 75420
3.2%

PAINACT2
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.2%
Missing2360935
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean66.74361658
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:44.931510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q130
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)58

Descriptive statistics

Standard deviation33.71276706
Coefficient of variation (CV)0.5051084852
Kurtosis-0.7823225427
Mean66.74361658
Median Absolute Deviation (MAD)0
Skewness-1.033494453
Sum1275604
Variance1136.550663
MonotonicityNot monotonic
2025-05-10T13:44:44.968765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 13153
 
0.6%
30 1692
 
0.1%
2 610
 
< 0.1%
5 451
 
< 0.1%
3 414
 
< 0.1%
1 388
 
< 0.1%
15 360
 
< 0.1%
10 356
 
< 0.1%
77 326
 
< 0.1%
20 288
 
< 0.1%
Other values (23) 1074
 
< 0.1%
(Missing) 2360935
99.2%
ValueCountFrequency (%)
1 388
< 0.1%
2 610
< 0.1%
3 414
< 0.1%
4 224
 
< 0.1%
5 451
< 0.1%
ValueCountFrequency (%)
99 112
 
< 0.1%
88 13153
0.6%
77 326
 
< 0.1%
30 1692
 
0.1%
29 12
 
< 0.1%

QLMENTL2
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.2%
Missing2360959
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean60.58607502
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.005114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.71173165
Coefficient of variation (CV)0.6224488323
Kurtosis-1.428454475
Mean60.58607502
Median Absolute Deviation (MAD)0
Skewness-0.6979307194
Sum1156467
Variance1422.174704
MonotonicityNot monotonic
2025-05-10T13:44:45.041762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 11921
 
0.5%
2 1306
 
0.1%
30 927
 
< 0.1%
1 826
 
< 0.1%
3 683
 
< 0.1%
5 639
 
< 0.1%
10 481
 
< 0.1%
15 475
 
< 0.1%
77 365
 
< 0.1%
4 321
 
< 0.1%
Other values (23) 1144
 
< 0.1%
(Missing) 2360959
99.2%
ValueCountFrequency (%)
1 826
< 0.1%
2 1306
0.1%
3 683
< 0.1%
4 321
 
< 0.1%
5 639
< 0.1%
ValueCountFrequency (%)
99 145
 
< 0.1%
88 11921
0.5%
77 365
 
< 0.1%
30 927
 
< 0.1%
29 16
 
< 0.1%

QLSTRES2
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.2%
Missing2360974
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean50.70953704
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.078367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median77
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)83

Descriptive statistics

Standard deviation39.16789228
Coefficient of variation (CV)0.7723969604
Kurtosis-1.867167032
Mean50.70953704
Median Absolute Deviation (MAD)11
Skewness-0.1640216173
Sum967183
Variance1534.123785
MonotonicityNot monotonic
2025-05-10T13:44:45.114814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 9330
 
0.4%
30 1659
 
0.1%
2 1566
 
0.1%
5 1062
 
< 0.1%
1 926
 
< 0.1%
3 918
 
< 0.1%
10 768
 
< 0.1%
15 587
 
< 0.1%
4 417
 
< 0.1%
77 413
 
< 0.1%
Other values (23) 1427
 
0.1%
(Missing) 2360974
99.2%
ValueCountFrequency (%)
1 926
< 0.1%
2 1566
0.1%
3 918
< 0.1%
4 417
 
< 0.1%
5 1062
< 0.1%
ValueCountFrequency (%)
99 153
 
< 0.1%
88 9330
0.4%
77 413
 
< 0.1%
30 1659
 
0.1%
29 18
 
< 0.1%

QLHLTH2
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.2%
Missing2361006
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean34.97920277
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.150851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q120
median30
Q330
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation27.20702394
Coefficient of variation (CV)0.7778057182
Kurtosis-0.0377138808
Mean34.97920277
Median Absolute Deviation (MAD)10
Skewness1.150577473
Sum666039
Variance740.2221515
MonotonicityNot monotonic
2025-05-10T13:44:45.188365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
30 5832
 
0.2%
88 2946
 
0.1%
20 1670
 
0.1%
25 1615
 
0.1%
15 1207
 
0.1%
10 862
 
< 0.1%
28 779
 
< 0.1%
77 719
 
< 0.1%
5 609
 
< 0.1%
29 389
 
< 0.1%
Other values (23) 2413
 
0.1%
(Missing) 2361006
99.2%
ValueCountFrequency (%)
1 211
 
< 0.1%
2 385
< 0.1%
3 271
< 0.1%
4 169
 
< 0.1%
5 609
< 0.1%
ValueCountFrequency (%)
99 166
 
< 0.1%
88 2946
0.1%
77 719
 
< 0.1%
30 5832
0.2%
29 389
 
< 0.1%

CAREGIV1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2271052
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.808734346
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.218284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5970556484
Coefficient of variation (CV)0.3300958208
Kurtosis53.9230369
Mean1.808734346
Median Absolute Deviation (MAD)0
Skewness4.820791492
Sum197143
Variance0.3564754473
MonotonicityNot monotonic
2025-05-10T13:44:45.249984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 84412
 
3.5%
1 24034
 
1.0%
8 222
 
< 0.1%
7 217
 
< 0.1%
9 110
 
< 0.1%
(Missing) 2271052
95.4%
ValueCountFrequency (%)
1 24034
 
1.0%
2 84412
3.5%
7 217
 
< 0.1%
8 222
 
< 0.1%
9 110
 
< 0.1%
ValueCountFrequency (%)
9 110
 
< 0.1%
8 222
 
< 0.1%
7 217
 
< 0.1%
2 84412
3.5%
1 24034
 
1.0%

CRGVREL1
Real number (ℝ)

Missing 

Distinct17
Distinct (%)0.1%
Missing2356027
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean7.600999167
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.284467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q312
95-th percentile15
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.70465471
Coefficient of variation (CV)1.145198745
Kurtosis62.6461994
Mean7.600999167
Median Absolute Deviation (MAD)5
Skewness6.455753488
Sum182576
Variance75.77101362
MonotonicityNot monotonic
2025-05-10T13:44:45.317429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 5342
 
0.2%
15 3849
 
0.2%
6 2475
 
0.1%
5 2078
 
0.1%
2 1956
 
0.1%
14 1735
 
0.1%
7 1709
 
0.1%
10 1156
 
< 0.1%
3 967
 
< 0.1%
11 858
 
< 0.1%
Other values (7) 1895
 
0.1%
(Missing) 2356027
99.0%
ValueCountFrequency (%)
1 5342
0.2%
2 1956
 
0.1%
3 967
 
< 0.1%
4 365
 
< 0.1%
5 2078
 
0.1%
ValueCountFrequency (%)
99 115
 
< 0.1%
77 43
 
< 0.1%
15 3849
0.2%
14 1735
0.1%
13 214
 
< 0.1%

CRGVLNG1
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2356052
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean3.361033549
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.347293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.540557343
Coefficient of variation (CV)0.4583582166
Kurtosis-0.711439474
Mean3.361033549
Median Absolute Deviation (MAD)1
Skewness-0.09849196521
Sum80648
Variance2.373316928
MonotonicityNot monotonic
2025-05-10T13:44:45.379029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6933
 
0.3%
4 5000
 
0.2%
1 4379
 
0.2%
3 4353
 
0.2%
2 2977
 
0.1%
7 293
 
< 0.1%
9 60
 
< 0.1%
(Missing) 2356052
99.0%
ValueCountFrequency (%)
1 4379
0.2%
2 2977
0.1%
3 4353
0.2%
4 5000
0.2%
5 6933
0.3%
ValueCountFrequency (%)
9 60
 
< 0.1%
7 293
 
< 0.1%
5 6933
0.3%
4 5000
0.2%
3 4353
0.2%

CRGVHRS1
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2356084
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.212702917
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.410561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.724357886
Coefficient of variation (CV)0.7792993231
Kurtosis2.349389458
Mean2.212702917
Median Absolute Deviation (MAD)0
Skewness1.604352145
Sum53023
Variance2.973410117
MonotonicityNot monotonic
2025-05-10T13:44:45.441460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13103
 
0.6%
4 4243
 
0.2%
2 2927
 
0.1%
3 2285
 
0.1%
7 1203
 
0.1%
9 202
 
< 0.1%
(Missing) 2356084
99.0%
ValueCountFrequency (%)
1 13103
0.6%
2 2927
 
0.1%
3 2285
 
0.1%
4 4243
 
0.2%
7 1203
 
0.1%
ValueCountFrequency (%)
9 202
 
< 0.1%
7 1203
 
0.1%
4 4243
0.2%
3 2285
0.1%
2 2927
0.1%

CRGVPRB1
Real number (ℝ)

Missing 

Distinct15
Distinct (%)0.1%
Missing2356115
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean12.69609728
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.476779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median11
Q313
95-th percentile13
Maximum99
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation17.40174242
Coefficient of variation (CV)1.370637137
Kurtosis15.72081034
Mean12.69609728
Median Absolute Deviation (MAD)2
Skewness4.010947889
Sum303843
Variance302.8206391
MonotonicityNot monotonic
2025-05-10T13:44:45.510905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 10620
 
0.4%
5 2331
 
0.1%
3 1910
 
0.1%
8 1679
 
0.1%
1 1473
 
0.1%
7 1328
 
0.1%
4 959
 
< 0.1%
10 915
 
< 0.1%
6 796
 
< 0.1%
11 571
 
< 0.1%
Other values (5) 1350
 
0.1%
(Missing) 2356115
99.0%
ValueCountFrequency (%)
1 1473
0.1%
2 121
 
< 0.1%
3 1910
0.1%
4 959
< 0.1%
5 2331
0.1%
ValueCountFrequency (%)
99 570
 
< 0.1%
77 549
 
< 0.1%
13 10620
0.4%
12 73
 
< 0.1%
11 571
 
< 0.1%

CRGVPERS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356145
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.531796502
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.539824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7273729191
Coefficient of variation (CV)0.4748495756
Kurtosis46.23964962
Mean1.531796502
Median Absolute Deviation (MAD)0
Skewness4.97634882
Sum36613
Variance0.5290713635
MonotonicityNot monotonic
2025-05-10T13:44:45.569263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 12099
 
0.5%
2 11657
 
0.5%
9 89
 
< 0.1%
7 57
 
< 0.1%
(Missing) 2356145
99.0%
ValueCountFrequency (%)
1 12099
0.5%
2 11657
0.5%
7 57
 
< 0.1%
9 89
 
< 0.1%
ValueCountFrequency (%)
9 89
 
< 0.1%
7 57
 
< 0.1%
2 11657
0.5%
1 12099
0.5%

CRGVHOUS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356162
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.260916893
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.598462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6748082566
Coefficient of variation (CV)0.5351726669
Kurtosis66.78711721
Mean1.260916893
Median Absolute Deviation (MAD)0
Skewness6.756700942
Sum30117
Variance0.4553661832
MonotonicityNot monotonic
2025-05-10T13:44:45.628936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 18523
 
0.8%
2 5218
 
0.2%
9 75
 
< 0.1%
7 69
 
< 0.1%
(Missing) 2356162
99.0%
ValueCountFrequency (%)
1 18523
0.8%
2 5218
 
0.2%
7 69
 
< 0.1%
9 75
 
< 0.1%
ValueCountFrequency (%)
9 75
 
< 0.1%
7 69
 
< 0.1%
2 5218
 
0.2%
1 18523
0.8%

CRGVMST2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2356225
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean5.496977584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.658535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median6
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.357496826
Coefficient of variation (CV)0.246953313
Kurtosis2.955755901
Mean5.496977584
Median Absolute Deviation (MAD)0
Skewness-1.921895903
Sum130949
Variance1.842797632
MonotonicityNot monotonic
2025-05-10T13:44:45.690765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 19047
 
0.8%
2 1985
 
0.1%
5 643
 
< 0.1%
3 639
 
< 0.1%
7 575
 
< 0.1%
4 461
 
< 0.1%
1 319
 
< 0.1%
9 153
 
< 0.1%
(Missing) 2356225
99.0%
ValueCountFrequency (%)
1 319
 
< 0.1%
2 1985
0.1%
3 639
 
< 0.1%
4 461
 
< 0.1%
5 643
 
< 0.1%
ValueCountFrequency (%)
9 153
 
< 0.1%
7 575
 
< 0.1%
6 19047
0.8%
5 643
 
< 0.1%
4 461
 
< 0.1%

CRGVEXPT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2295360
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean2.220872153
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.722056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.41694791
Coefficient of variation (CV)0.6380141729
Kurtosis7.54006987
Mean2.220872153
Median Absolute Deviation (MAD)0
Skewness2.896269352
Sum188079
Variance2.007741379
MonotonicityNot monotonic
2025-05-10T13:44:45.751629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 65424
 
2.7%
1 12998
 
0.5%
7 6076
 
0.3%
9 189
 
< 0.1%
(Missing) 2295360
96.4%
ValueCountFrequency (%)
1 12998
 
0.5%
2 65424
2.7%
7 6076
 
0.3%
9 189
 
< 0.1%
ValueCountFrequency (%)
9 189
 
< 0.1%
7 6076
 
0.3%
2 65424
2.7%
1 12998
 
0.5%

VIDFCLT2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)0.1%
Missing2362398
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.919258882
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.782761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.22519499
Coefficient of variation (CV)1.159403252
Kurtosis5.454495369
Mean1.919258882
Median Absolute Deviation (MAD)0
Skewness2.629757578
Sum33873
Variance4.951492742
MonotonicityNot monotonic
2025-05-10T13:44:45.814479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 13262
 
0.6%
2 1834
 
0.1%
9 1429
 
0.1%
3 727
 
< 0.1%
4 202
 
< 0.1%
5 118
 
< 0.1%
6 45
 
< 0.1%
7 23
 
< 0.1%
8 9
 
< 0.1%
(Missing) 2362398
99.3%
ValueCountFrequency (%)
1 13262
0.6%
2 1834
 
0.1%
3 727
 
< 0.1%
4 202
 
< 0.1%
5 118
 
< 0.1%
ValueCountFrequency (%)
9 1429
0.1%
8 9
 
< 0.1%
7 23
 
< 0.1%
6 45
 
< 0.1%
5 118
 
< 0.1%

VIREDIF3
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.2%
Missing2376859
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.722710163
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.845466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076443694
Coefficient of variation (CV)0.6248547884
Kurtosis3.265047314
Mean1.722710163
Median Absolute Deviation (MAD)0
Skewness1.721750284
Sum5492
Variance1.158731027
MonotonicityNot monotonic
2025-05-10T13:44:45.876532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1888
 
0.1%
2 648
 
< 0.1%
3 415
 
< 0.1%
4 164
 
< 0.1%
5 45
 
< 0.1%
7 14
 
< 0.1%
6 14
 
< 0.1%
(Missing) 2376859
99.9%
ValueCountFrequency (%)
1 1888
0.1%
2 648
 
< 0.1%
3 415
 
< 0.1%
4 164
 
< 0.1%
5 45
 
< 0.1%
ValueCountFrequency (%)
7 14
 
< 0.1%
6 14
 
< 0.1%
5 45
 
< 0.1%
4 164
 
< 0.1%
3 415
< 0.1%

VIPRFVS2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2362424
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.981047495
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.906209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.043029204
Coefficient of variation (CV)0.6853393672
Kurtosis3.384907116
Mean2.981047495
Median Absolute Deviation (MAD)1
Skewness1.994820254
Sum52535
Variance4.173968327
MonotonicityNot monotonic
2025-05-10T13:44:45.938029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 8333
 
0.4%
4 2875
 
0.1%
3 2583
 
0.1%
1 2113
 
0.1%
9 1444
 
0.1%
5 207
 
< 0.1%
7 68
 
< 0.1%
(Missing) 2362424
99.3%
ValueCountFrequency (%)
1 2113
 
0.1%
2 8333
0.4%
3 2583
 
0.1%
4 2875
 
0.1%
5 207
 
< 0.1%
ValueCountFrequency (%)
9 1444
0.1%
7 68
 
< 0.1%
5 207
 
< 0.1%
4 2875
0.1%
3 2583
0.1%

VINOCRE2
Real number (ℝ)

Missing 

Distinct10
Distinct (%)0.1%
Missing2372875
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean24.05563302
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:45.970278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q37
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.39619587
Coefficient of variation (CV)1.596141571
Kurtosis0.02767923991
Mean24.05563302
Median Absolute Deviation (MAD)2
Skewness1.414608283
Sum172527
Variance1474.267857
MonotonicityNot monotonic
2025-05-10T13:44:46.016607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 2486
 
0.1%
1 1581
 
0.1%
99 1449
 
0.1%
7 1046
 
< 0.1%
6 333
 
< 0.1%
3 77
 
< 0.1%
4 73
 
< 0.1%
77 66
 
< 0.1%
2 58
 
< 0.1%
8 3
 
< 0.1%
(Missing) 2372875
99.7%
ValueCountFrequency (%)
1 1581
0.1%
2 58
 
< 0.1%
3 77
 
< 0.1%
4 73
 
< 0.1%
5 2486
0.1%
ValueCountFrequency (%)
99 1449
0.1%
77 66
 
< 0.1%
8 3
 
< 0.1%
7 1046
< 0.1%
6 333
 
< 0.1%

VIEYEXM2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.1%
Missing2364458
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean3.453973956
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.047037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.176404161
Coefficient of variation (CV)0.6301159733
Kurtosis1.319707413
Mean3.453973956
Median Absolute Deviation (MAD)1
Skewness1.435522966
Sum53844
Variance4.736735073
MonotonicityNot monotonic
2025-05-10T13:44:46.079275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 6012
 
0.3%
4 3107
 
0.1%
3 2155
 
0.1%
9 1452
 
0.1%
1 1289
 
0.1%
5 1225
 
0.1%
7 347
 
< 0.1%
8 2
 
< 0.1%
(Missing) 2364458
99.3%
ValueCountFrequency (%)
1 1289
 
0.1%
2 6012
0.3%
3 2155
 
0.1%
4 3107
0.1%
5 1225
 
0.1%
ValueCountFrequency (%)
9 1452
0.1%
8 2
 
< 0.1%
7 347
 
< 0.1%
5 1225
 
0.1%
4 3107
0.1%

VIINSUR2
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2362442
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.133143993
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.110625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.241192594
Coefficient of variation (CV)1.050652277
Kurtosis4.73415185
Mean2.133143993
Median Absolute Deviation (MAD)0
Skewness2.496264796
Sum37554
Variance5.022944244
MonotonicityNot monotonic
2025-05-10T13:44:46.141112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 9433
 
0.4%
2 6400
 
0.3%
9 1458
 
0.1%
7 313
 
< 0.1%
8 1
 
< 0.1%
(Missing) 2362442
99.3%
ValueCountFrequency (%)
1 9433
0.4%
2 6400
0.3%
7 313
 
< 0.1%
8 1
 
< 0.1%
9 1458
 
0.1%
ValueCountFrequency (%)
9 1458
 
0.1%
8 1
 
< 0.1%
7 313
 
< 0.1%
2 6400
0.3%
1 9433
0.4%

VICTRCT4
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2362446
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean3.06158741
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.172641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.947014604
Coefficient of variation (CV)0.6359493762
Kurtosis4.421300173
Mean3.06158741
Median Absolute Deviation (MAD)0
Skewness2.157485359
Sum53887
Variance3.790865866
MonotonicityNot monotonic
2025-05-10T13:44:46.203622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 11109
 
0.5%
1 2865
 
0.1%
2 2121
 
0.1%
9 1455
 
0.1%
7 50
 
< 0.1%
8 1
 
< 0.1%
(Missing) 2362446
99.3%
ValueCountFrequency (%)
1 2865
 
0.1%
2 2121
 
0.1%
3 11109
0.5%
7 50
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
9 1455
 
0.1%
8 1
 
< 0.1%
7 50
 
< 0.1%
3 11109
0.5%
2 2121
 
0.1%

VIGLUMA2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2362450
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.544581463
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.233333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.970518616
Coefficient of variation (CV)0.7743979293
Kurtosis6.635947666
Mean2.544581463
Median Absolute Deviation (MAD)0
Skewness2.902210732
Sum44777
Variance3.882943615
MonotonicityNot monotonic
2025-05-10T13:44:46.265679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 15214
 
0.6%
9 1456
 
0.1%
1 874
 
< 0.1%
7 53
 
< 0.1%
(Missing) 2362450
99.3%
ValueCountFrequency (%)
1 874
 
< 0.1%
2 15214
0.6%
7 53
 
< 0.1%
9 1456
 
0.1%
ValueCountFrequency (%)
9 1456
 
0.1%
7 53
 
< 0.1%
2 15214
0.6%
1 874
 
< 0.1%

VIMACDG2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2362455
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.567985448
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.295559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.992948307
Coefficient of variation (CV)0.7760746107
Kurtosis6.210146784
Mean2.567985448
Median Absolute Deviation (MAD)0
Skewness2.826219517
Sum45176
Variance3.971842954
MonotonicityNot monotonic
2025-05-10T13:44:46.497564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 15152
 
0.6%
9 1461
 
0.1%
1 855
 
< 0.1%
7 124
 
< 0.1%
(Missing) 2362455
99.3%
ValueCountFrequency (%)
1 855
 
< 0.1%
2 15152
0.6%
7 124
 
< 0.1%
9 1461
 
0.1%
ValueCountFrequency (%)
9 1461
 
0.1%
7 124
 
< 0.1%
2 15152
0.6%
1 855
 
< 0.1%

CIMEMLOS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2217863
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean1.971809796
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.527459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7361643157
Coefficient of variation (CV)0.3733444864
Kurtosis56.88760932
Mean1.971809796
Median Absolute Deviation (MAD)0
Skewness6.674574047
Sum319796
Variance0.5419378997
MonotonicityNot monotonic
2025-05-10T13:44:46.558236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 143642
 
6.0%
1 16497
 
0.7%
7 1195
 
0.1%
9 850
 
< 0.1%
(Missing) 2217863
93.2%
ValueCountFrequency (%)
1 16497
 
0.7%
2 143642
6.0%
7 1195
 
0.1%
9 850
 
< 0.1%
ValueCountFrequency (%)
9 850
 
< 0.1%
7 1195
 
0.1%
2 143642
6.0%
1 16497
 
0.7%

CDHOUSE
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2366791
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.965298733
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.588171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.359988612
Coefficient of variation (CV)0.3429725485
Kurtosis0.2060139363
Mean3.965298733
Median Absolute Deviation (MAD)1
Skewness-0.4071583054
Sum52564
Variance1.849569024
MonotonicityNot monotonic
2025-05-10T13:44:46.619175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6194
 
0.3%
3 3192
 
0.1%
4 1805
 
0.1%
1 929
 
< 0.1%
2 835
 
< 0.1%
7 255
 
< 0.1%
9 46
 
< 0.1%
(Missing) 2366791
99.4%
ValueCountFrequency (%)
1 929
 
< 0.1%
2 835
 
< 0.1%
3 3192
0.1%
4 1805
 
0.1%
5 6194
0.3%
ValueCountFrequency (%)
9 46
 
< 0.1%
7 255
 
< 0.1%
5 6194
0.3%
4 1805
 
0.1%
3 3192
0.1%

CDASSIST
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2366806
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean4.051506684
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.649988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.277118891
Coefficient of variation (CV)0.3152207291
Kurtosis0.3781233509
Mean4.051506684
Median Absolute Deviation (MAD)0
Skewness-0.7160330579
Sum53646
Variance1.631032662
MonotonicityNot monotonic
2025-05-10T13:44:46.681466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6764
 
0.3%
3 2836
 
0.1%
4 1979
 
0.1%
1 821
 
< 0.1%
2 672
 
< 0.1%
7 142
 
< 0.1%
9 27
 
< 0.1%
(Missing) 2366806
99.4%
ValueCountFrequency (%)
1 821
 
< 0.1%
2 672
 
< 0.1%
3 2836
0.1%
4 1979
 
0.1%
5 6764
0.3%
ValueCountFrequency (%)
9 27
 
< 0.1%
7 142
 
< 0.1%
5 6764
0.3%
4 1979
 
0.1%
3 2836
0.1%

CDHELP
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.2%
Missing2375721
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean2.205501618
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.712961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.294747866
Coefficient of variation (CV)0.5870536914
Kurtosis0.7763309745
Mean2.205501618
Median Absolute Deviation (MAD)1
Skewness1.001984844
Sum9541
Variance1.676372037
MonotonicityNot monotonic
2025-05-10T13:44:46.743690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1777
 
0.1%
3 1051
 
< 0.1%
2 879
 
< 0.1%
4 318
 
< 0.1%
5 265
 
< 0.1%
7 34
 
< 0.1%
9 2
 
< 0.1%
(Missing) 2375721
99.8%
ValueCountFrequency (%)
1 1777
0.1%
2 879
< 0.1%
3 1051
< 0.1%
4 318
 
< 0.1%
5 265
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 34
 
< 0.1%
5 265
 
< 0.1%
4 318
 
< 0.1%
3 1051
< 0.1%

CDSOCIAL
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2366829
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.980859434
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.774240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.407245635
Coefficient of variation (CV)0.3535029704
Kurtosis0.09844990375
Mean3.980859434
Median Absolute Deviation (MAD)1
Skewness-0.6436409789
Sum52619
Variance1.980340277
MonotonicityNot monotonic
2025-05-10T13:44:46.805796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 6592
 
0.3%
3 2447
 
0.1%
4 1924
 
0.1%
1 1253
 
0.1%
2 743
 
< 0.1%
7 224
 
< 0.1%
9 35
 
< 0.1%
(Missing) 2366829
99.4%
ValueCountFrequency (%)
1 1253
 
0.1%
2 743
 
< 0.1%
3 2447
 
0.1%
4 1924
 
0.1%
5 6592
0.3%
ValueCountFrequency (%)
9 35
 
< 0.1%
7 224
 
< 0.1%
5 6592
0.3%
4 1924
 
0.1%
3 2447
 
0.1%

CDDISCUS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2366846
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.603136126
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.835380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.735559474
Coefficient of variation (CV)0.4588253374
Kurtosis32.60679898
Mean1.603136126
Median Absolute Deviation (MAD)0
Skewness4.17351362
Sum21163
Variance0.5410477397
MonotonicityNot monotonic
2025-05-10T13:44:46.866380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7220
 
0.3%
1 5863
 
0.2%
7 101
 
< 0.1%
9 17
 
< 0.1%
(Missing) 2366846
99.4%
ValueCountFrequency (%)
1 5863
0.2%
2 7220
0.3%
7 101
 
< 0.1%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 101
 
< 0.1%
2 7220
0.3%
1 5863
0.2%

WTCHSALT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2184770
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean1.479221823
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.895931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8193607558
Coefficient of variation (CV)0.5539133772
Kurtosis42.41196914
Mean1.479221823
Median Absolute Deviation (MAD)0
Skewness5.304686039
Sum288858
Variance0.6713520481
MonotonicityNot monotonic
2025-05-10T13:44:46.926197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 113139
 
4.8%
2 80241
 
3.4%
9 979
 
< 0.1%
7 918
 
< 0.1%
(Missing) 2184770
91.8%
ValueCountFrequency (%)
1 113139
4.8%
2 80241
3.4%
7 918
 
< 0.1%
9 979
 
< 0.1%
ValueCountFrequency (%)
9 979
 
< 0.1%
7 918
 
< 0.1%
2 80241
3.4%
1 113139
4.8%

LONGWTCH
Real number (ℝ)

Missing 

Distinct205
Distinct (%)0.2%
Missing2266954
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean423.951562
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:46.963720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile301
Q1402
median407
Q3420
95-th percentile777
Maximum999
Range898
Interquartile range (IQR)18

Descriptive statistics

Standard deviation116.3012417
Coefficient of variation (CV)0.2743267206
Kurtosis4.569829067
Mean423.951562
Median Absolute Deviation (MAD)6
Skewness1.064677483
Sum47945954
Variance13525.97882
MonotonicityNot monotonic
2025-05-10T13:44:47.002816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410 13789
 
0.6%
405 11654
 
0.5%
555 11576
 
0.5%
402 9302
 
0.4%
401 8417
 
0.4%
420 7643
 
0.3%
403 6540
 
0.3%
777 5471
 
0.2%
415 3979
 
0.2%
430 3296
 
0.1%
Other values (195) 31426
 
1.3%
(Missing) 2266954
95.2%
ValueCountFrequency (%)
101 1314
0.1%
102 157
 
< 0.1%
103 279
 
< 0.1%
104 56
 
< 0.1%
105 96
 
< 0.1%
ValueCountFrequency (%)
999 288
 
< 0.1%
777 5471
0.2%
555 11576
0.5%
499 29
 
< 0.1%
495 1
 
< 0.1%

DRADVISE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2184897
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean1.783935434
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.032525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.763332165
Coefficient of variation (CV)0.4278922602
Kurtosis45.18939888
Mean1.783935434
Median Absolute Deviation (MAD)0
Skewness5.250122714
Sum348135
Variance0.5826759942
MonotonicityNot monotonic
2025-05-10T13:44:47.062287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 139699
 
5.9%
1 53533
 
2.2%
7 1029
 
< 0.1%
9 889
 
< 0.1%
(Missing) 2184897
91.8%
ValueCountFrequency (%)
1 53533
 
2.2%
2 139699
5.9%
7 1029
 
< 0.1%
9 889
 
< 0.1%
ValueCountFrequency (%)
9 889
 
< 0.1%
7 1029
 
< 0.1%
2 139699
5.9%
1 53533
 
2.2%

ASTHMAGE
Real number (ℝ)

Missing 

Distinct82
Distinct (%)1.0%
Missing2371752
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean60.91018686
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.099233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q130
median57
Q397
95-th percentile98
Maximum99
Range88
Interquartile range (IQR)67

Descriptive statistics

Standard deviation32.77115574
Coefficient of variation (CV)0.5380242194
Kurtosis-1.607339743
Mean60.91018686
Median Absolute Deviation (MAD)40
Skewness-0.06408601965
Sum505250
Variance1073.948648
MonotonicityNot monotonic
2025-05-10T13:44:47.138278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97 2435
 
0.1%
98 642
 
< 0.1%
30 298
 
< 0.1%
40 288
 
< 0.1%
50 287
 
< 0.1%
12 231
 
< 0.1%
99 206
 
< 0.1%
35 190
 
< 0.1%
20 173
 
< 0.1%
25 171
 
< 0.1%
Other values (72) 3374
 
0.1%
(Missing) 2371752
99.7%
ValueCountFrequency (%)
11 148
< 0.1%
12 231
< 0.1%
13 114
< 0.1%
14 99
< 0.1%
15 140
< 0.1%
ValueCountFrequency (%)
99 206
 
< 0.1%
98 642
 
< 0.1%
97 2435
0.1%
96 9
 
< 0.1%
90 5
 
< 0.1%

ASATTACK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2374318
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.738872404
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.168935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.309968836
Coefficient of variation (CV)0.7533438528
Kurtosis20.60165503
Mean1.738872404
Median Absolute Deviation (MAD)0
Skewness4.32346666
Sum9962
Variance1.716018351
MonotonicityNot monotonic
2025-05-10T13:44:47.198444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2901
 
0.1%
1 2649
 
0.1%
9 129
 
< 0.1%
7 50
 
< 0.1%
(Missing) 2374318
99.8%
ValueCountFrequency (%)
1 2649
0.1%
2 2901
0.1%
7 50
 
< 0.1%
9 129
 
< 0.1%
ValueCountFrequency (%)
9 129
 
< 0.1%
7 50
 
< 0.1%
2 2901
0.1%
1 2649
0.1%

ASERVIST
Real number (ℝ)

Missing 

Distinct17
Distinct (%)0.6%
Missing2377399
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean63.31306647
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.231692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation38.96683016
Coefficient of variation (CV)0.6154626894
Kurtosis-1.124780567
Mean63.31306647
Median Absolute Deviation (MAD)0
Skewness-0.932367387
Sum167653
Variance1518.413853
MonotonicityNot monotonic
2025-05-10T13:44:47.264812image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 1858
 
0.1%
1 347
 
< 0.1%
2 211
 
< 0.1%
3 87
 
< 0.1%
4 58
 
< 0.1%
5 26
 
< 0.1%
98 22
 
< 0.1%
6 21
 
< 0.1%
10 5
 
< 0.1%
12 4
 
< 0.1%
Other values (7) 9
 
< 0.1%
(Missing) 2377399
99.9%
ValueCountFrequency (%)
1 347
< 0.1%
2 211
< 0.1%
3 87
 
< 0.1%
4 58
 
< 0.1%
5 26
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
98 22
 
< 0.1%
88 1858
0.1%
87 1
 
< 0.1%
25 1
 
< 0.1%

ASDRVIST
Real number (ℝ)

Missing 

Distinct25
Distinct (%)0.9%
Missing2377403
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean51.92208775
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.299012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation42.45955076
Coefficient of variation (CV)0.817755075
Kurtosis-1.897079545
Mean51.92208775
Median Absolute Deviation (MAD)0
Skewness-0.3006161359
Sum137282
Variance1802.813451
MonotonicityNot monotonic
2025-05-10T13:44:47.333962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
88 1443
 
0.1%
1 430
 
< 0.1%
2 299
 
< 0.1%
3 166
 
< 0.1%
4 99
 
< 0.1%
98 65
 
< 0.1%
5 40
 
< 0.1%
6 33
 
< 0.1%
12 22
 
< 0.1%
8 10
 
< 0.1%
Other values (15) 37
 
< 0.1%
(Missing) 2377403
99.9%
ValueCountFrequency (%)
1 430
< 0.1%
2 299
< 0.1%
3 166
 
< 0.1%
4 99
 
< 0.1%
5 40
 
< 0.1%
ValueCountFrequency (%)
99 4
 
< 0.1%
98 65
 
< 0.1%
88 1443
0.1%
87 3
 
< 0.1%
72 1
 
< 0.1%

ASRCHKUP
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.6%
Missing2374330
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean40.46790275
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.370426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation42.92210906
Coefficient of variation (CV)1.06064575
Kurtosis-1.910580269
Mean40.46790275
Median Absolute Deviation (MAD)4
Skewness0.2581476502
Sum231355
Variance1842.307446
MonotonicityNot monotonic
2025-05-10T13:44:47.409231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 2201
 
0.1%
1 1373
 
0.1%
2 749
 
< 0.1%
4 402
 
< 0.1%
3 334
 
< 0.1%
99 144
 
< 0.1%
98 136
 
< 0.1%
12 132
 
< 0.1%
6 92
 
< 0.1%
5 45
 
< 0.1%
Other values (23) 109
 
< 0.1%
(Missing) 2374330
99.8%
ValueCountFrequency (%)
1 1373
0.1%
2 749
< 0.1%
3 334
 
< 0.1%
4 402
 
< 0.1%
5 45
 
< 0.1%
ValueCountFrequency (%)
99 144
 
< 0.1%
98 136
 
< 0.1%
88 2201
0.1%
87 6
 
< 0.1%
77 1
 
< 0.1%

ASACTLIM
Real number (ℝ)

Missing 

Distinct67
Distinct (%)1.2%
Missing2374338
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean662.251883
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.448168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1365
median888
Q3888
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)523

Descriptive statistics

Standard deviation375.8562371
Coefficient of variation (CV)0.5675427232
Kurtosis-0.7355364809
Mean662.251883
Median Absolute Deviation (MAD)0
Skewness-1.093758426
Sum3780796
Variance141267.911
MonotonicityNot monotonic
2025-05-10T13:44:47.489645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 3730
 
0.2%
777 318
 
< 0.1%
2 239
 
< 0.1%
999 164
 
< 0.1%
1 156
 
< 0.1%
3 145
 
< 0.1%
5 110
 
< 0.1%
4 98
 
< 0.1%
88 94
 
< 0.1%
10 90
 
< 0.1%
Other values (57) 565
 
< 0.1%
(Missing) 2374338
99.8%
ValueCountFrequency (%)
1 156
< 0.1%
2 239
< 0.1%
3 145
< 0.1%
4 98
< 0.1%
5 110
< 0.1%
ValueCountFrequency (%)
999 164
 
< 0.1%
888 3730
0.2%
777 318
 
< 0.1%
365 71
 
< 0.1%
364 2
 
< 0.1%

ASYMPTOM
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.1%
Missing2374353
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean4.313136635
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.521850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.803998218
Coefficient of variation (CV)0.6501065129
Kurtosis-1.47142296
Mean4.313136635
Median Absolute Deviation (MAD)3
Skewness0.3399164829
Sum24559
Variance7.862406004
MonotonicityNot monotonic
2025-05-10T13:44:47.554649image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1504
 
0.1%
1 1095
 
< 0.1%
2 1092
 
< 0.1%
4 699
 
< 0.1%
3 573
 
< 0.1%
5 369
 
< 0.1%
7 185
 
< 0.1%
9 177
 
< 0.1%
(Missing) 2374353
99.8%
ValueCountFrequency (%)
1 1095
< 0.1%
2 1092
< 0.1%
3 573
< 0.1%
4 699
< 0.1%
5 369
 
< 0.1%
ValueCountFrequency (%)
9 177
 
< 0.1%
8 1504
0.1%
7 185
 
< 0.1%
5 369
 
< 0.1%
4 699
< 0.1%

ASNOSLEP
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.2%
Missing2375867
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean5.516746411
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.585480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.899440406
Coefficient of variation (CV)0.525570724
Kurtosis-1.448250329
Mean5.516746411
Median Absolute Deviation (MAD)1
Skewness-0.4775331701
Sum23060
Variance8.406754666
MonotonicityNot monotonic
2025-05-10T13:44:47.616715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1930
 
0.1%
1 694
 
< 0.1%
5 462
 
< 0.1%
2 418
 
< 0.1%
4 212
 
< 0.1%
9 162
 
< 0.1%
3 160
 
< 0.1%
7 142
 
< 0.1%
(Missing) 2375867
99.8%
ValueCountFrequency (%)
1 694
< 0.1%
2 418
< 0.1%
3 160
 
< 0.1%
4 212
 
< 0.1%
5 462
< 0.1%
ValueCountFrequency (%)
9 162
 
< 0.1%
8 1930
0.1%
7 142
 
< 0.1%
5 462
 
< 0.1%
4 212
 
< 0.1%

ASTHMED3
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.1%
Missing2374372
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean4.607400881
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.646297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.898509127
Coefficient of variation (CV)0.6290985311
Kurtosis-1.65954486
Mean4.607400881
Median Absolute Deviation (MAD)2
Skewness0.2325506815
Sum26147
Variance8.401355157
MonotonicityNot monotonic
2025-05-10T13:44:47.676389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2131
 
0.1%
8 1988
 
0.1%
1 1057
 
< 0.1%
2 212
 
< 0.1%
9 180
 
< 0.1%
7 107
 
< 0.1%
(Missing) 2374372
99.8%
ValueCountFrequency (%)
1 1057
< 0.1%
2 212
 
< 0.1%
3 2131
0.1%
7 107
 
< 0.1%
8 1988
0.1%
ValueCountFrequency (%)
9 180
 
< 0.1%
8 1988
0.1%
7 107
 
< 0.1%
3 2131
0.1%
2 212
 
< 0.1%

ASINHALR
Real number (ℝ)

Missing 

Distinct9
Distinct (%)0.2%
Missing2374384
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean5.101183118
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.707156image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.134538345
Coefficient of variation (CV)0.614472814
Kurtosis-1.747797832
Mean5.101183118
Median Absolute Deviation (MAD)2
Skewness-0.249200478
Sum28888
Variance9.825330638
MonotonicityNot monotonic
2025-05-10T13:44:47.738491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 2557
 
0.1%
1 1438
 
0.1%
2 511
 
< 0.1%
4 341
 
< 0.1%
3 287
 
< 0.1%
9 181
 
< 0.1%
7 153
 
< 0.1%
5 123
 
< 0.1%
6 72
 
< 0.1%
(Missing) 2374384
99.8%
ValueCountFrequency (%)
1 1438
0.1%
2 511
 
< 0.1%
3 287
 
< 0.1%
4 341
 
< 0.1%
5 123
 
< 0.1%
ValueCountFrequency (%)
9 181
 
< 0.1%
8 2557
0.1%
7 153
 
< 0.1%
6 72
 
< 0.1%
5 123
 
< 0.1%

HAREHAB1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2368013
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.778294831
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.769022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.052849718
Coefficient of variation (CV)0.5920557716
Kurtosis27.88987322
Mean1.778294831
Median Absolute Deviation (MAD)0
Skewness4.712366889
Sum21400
Variance1.10849253
MonotonicityNot monotonic
2025-05-10T13:44:47.799705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7536
 
0.3%
1 4237
 
0.2%
9 132
 
< 0.1%
7 129
 
< 0.1%
(Missing) 2368013
99.5%
ValueCountFrequency (%)
1 4237
0.2%
2 7536
0.3%
7 129
 
< 0.1%
9 132
 
< 0.1%
ValueCountFrequency (%)
9 132
 
< 0.1%
7 129
 
< 0.1%
2 7536
0.3%
1 4237
0.2%

STREHAB1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2371336
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.805303639
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.829424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.016160745
Coefficient of variation (CV)0.5628752545
Kurtosis29.59442948
Mean1.805303639
Median Absolute Deviation (MAD)0
Skewness4.814409506
Sum15726
Variance1.03258266
MonotonicityNot monotonic
2025-05-10T13:44:47.859708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 5771
 
0.2%
1 2762
 
0.1%
7 90
 
< 0.1%
9 88
 
< 0.1%
(Missing) 2371336
99.6%
ValueCountFrequency (%)
1 2762
0.1%
2 5771
0.2%
7 90
 
< 0.1%
9 88
 
< 0.1%
ValueCountFrequency (%)
9 88
 
< 0.1%
7 90
 
< 0.1%
2 5771
0.2%
1 2762
0.1%

CVDASPRN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2183823
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean1.699053123
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.888534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7039780138
Coefficient of variation (CV)0.4143354933
Kurtosis51.86319571
Mean1.699053123
Median Absolute Deviation (MAD)0
Skewness5.148813004
Sum333395
Variance0.4955850439
MonotonicityNot monotonic
2025-05-10T13:44:47.918806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 128679
 
5.4%
1 66411
 
2.8%
9 844
 
< 0.1%
7 290
 
< 0.1%
(Missing) 2183823
91.8%
ValueCountFrequency (%)
1 66411
2.8%
2 128679
5.4%
7 290
 
< 0.1%
9 844
 
< 0.1%
ValueCountFrequency (%)
9 844
 
< 0.1%
7 290
 
< 0.1%
2 128679
5.4%
1 66411
2.8%

ASPUNSAF
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2250262
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean2.884100628
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:47.948152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8556904462
Coefficient of variation (CV)0.2966922991
Kurtosis22.13628426
Mean2.884100628
Median Absolute Deviation (MAD)0
Skewness2.809009047
Sum374313
Variance0.7322061398
MonotonicityNot monotonic
2025-05-10T13:44:47.978657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 111353
 
4.7%
1 9250
 
0.4%
2 7016
 
0.3%
7 1261
 
0.1%
9 905
 
< 0.1%
(Missing) 2250262
94.5%
ValueCountFrequency (%)
1 9250
 
0.4%
2 7016
 
0.3%
3 111353
4.7%
7 1261
 
0.1%
9 905
 
< 0.1%
ValueCountFrequency (%)
9 905
 
< 0.1%
7 1261
 
0.1%
3 111353
4.7%
2 7016
 
0.3%
1 9250
 
0.4%

RLIVPAIN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2328762
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.827844399
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.008985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5568639521
Coefficient of variation (CV)0.3046561034
Kurtosis48.58632018
Mean1.827844399
Median Absolute Deviation (MAD)0
Skewness4.271936355
Sum93741
Variance0.3100974612
MonotonicityNot monotonic
2025-05-10T13:44:48.039059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 40846
 
1.7%
1 10182
 
0.4%
7 223
 
< 0.1%
9 34
 
< 0.1%
(Missing) 2328762
97.8%
ValueCountFrequency (%)
1 10182
 
0.4%
2 40846
1.7%
7 223
 
< 0.1%
9 34
 
< 0.1%
ValueCountFrequency (%)
9 34
 
< 0.1%
7 223
 
< 0.1%
2 40846
1.7%
1 10182
 
0.4%

RDUCHART
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2328764
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.278220853
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.068673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.001640019
Coefficient of variation (CV)0.7836204651
Kurtosis27.39114413
Mean1.278220853
Median Absolute Deviation (MAD)0
Skewness5.146786554
Sum65551
Variance1.003282728
MonotonicityNot monotonic
2025-05-10T13:44:48.099704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 43729
 
1.8%
2 6236
 
0.3%
7 1256
 
0.1%
9 62
 
< 0.1%
(Missing) 2328764
97.8%
ValueCountFrequency (%)
1 43729
1.8%
2 6236
 
0.3%
7 1256
 
0.1%
9 62
 
< 0.1%
ValueCountFrequency (%)
9 62
 
< 0.1%
7 1256
 
0.1%
2 6236
 
0.3%
1 43729
1.8%

RDUCSTRK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2328767
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.724863495
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.129260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.629389272
Coefficient of variation (CV)0.9446482442
Kurtosis6.409719781
Mean1.724863495
Median Absolute Deviation (MAD)0
Skewness2.770896285
Sum88451
Variance2.654909398
MonotonicityNot monotonic
2025-05-10T13:44:48.159374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 34852
 
1.5%
2 12321
 
0.5%
7 4003
 
0.2%
9 104
 
< 0.1%
(Missing) 2328767
97.8%
ValueCountFrequency (%)
1 34852
1.5%
2 12321
 
0.5%
7 4003
 
0.2%
9 104
 
< 0.1%
ValueCountFrequency (%)
9 104
 
< 0.1%
7 4003
 
0.2%
2 12321
 
0.5%
1 34852
1.5%

ARTTODAY
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2322825
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean2.321432316
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.188571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.187576117
Coefficient of variation (CV)0.5115704252
Kurtosis9.719977032
Mean2.321432316
Median Absolute Deviation (MAD)1
Skewness2.227065212
Sum132837
Variance1.410337034
MonotonicityNot monotonic
2025-05-10T13:44:48.220530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 23712
 
1.0%
3 14349
 
0.6%
1 12747
 
0.5%
4 5501
 
0.2%
9 612
 
< 0.1%
7 301
 
< 0.1%
(Missing) 2322825
97.6%
ValueCountFrequency (%)
1 12747
0.5%
2 23712
1.0%
3 14349
0.6%
4 5501
 
0.2%
7 301
 
< 0.1%
ValueCountFrequency (%)
9 612
 
< 0.1%
7 301
 
< 0.1%
4 5501
 
0.2%
3 14349
0.6%
2 23712
1.0%

ARTHWGT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2322848
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.74665641
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.250639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.970884566
Coefficient of variation (CV)0.5558532064
Kurtosis34.44622661
Mean1.74665641
Median Absolute Deviation (MAD)0
Skewness5.092308469
Sum99907
Variance0.9426168404
MonotonicityNot monotonic
2025-05-10T13:44:48.280747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 35996
 
1.5%
1 20283
 
0.9%
9 596
 
< 0.1%
7 324
 
< 0.1%
(Missing) 2322848
97.6%
ValueCountFrequency (%)
1 20283
0.9%
2 35996
1.5%
7 324
 
< 0.1%
9 596
 
< 0.1%
ValueCountFrequency (%)
9 596
 
< 0.1%
7 324
 
< 0.1%
2 35996
1.5%
1 20283
0.9%

ARTHEXER
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2322856
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.5678341
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.310818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.074694112
Coefficient of variation (CV)0.6854641779
Kurtosis28.2113175
Mean1.5678341
Median Absolute Deviation (MAD)0
Skewness4.813844223
Sum89666
Variance1.154967435
MonotonicityNot monotonic
2025-05-10T13:44:48.340769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 31967
 
1.3%
2 24017
 
1.0%
9 608
 
< 0.1%
7 599
 
< 0.1%
(Missing) 2322856
97.6%
ValueCountFrequency (%)
1 31967
1.3%
2 24017
1.0%
7 599
 
< 0.1%
9 608
 
< 0.1%
ValueCountFrequency (%)
9 608
 
< 0.1%
7 599
 
< 0.1%
2 24017
1.0%
1 31967
1.3%

ARTHEDU
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2322885
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.96462685
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.370270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8382453269
Coefficient of variation (CV)0.4266689763
Kurtosis51.88035863
Mean1.96462685
Median Absolute Deviation (MAD)0
Skewness6.533103336
Sum112302
Variance0.7026552281
MonotonicityNot monotonic
2025-05-10T13:44:48.401687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 49350
 
2.1%
1 7040
 
0.3%
9 579
 
< 0.1%
7 193
 
< 0.1%
(Missing) 2322885
97.6%
ValueCountFrequency (%)
1 7040
 
0.3%
2 49350
2.1%
7 193
 
< 0.1%
9 579
 
< 0.1%
ValueCountFrequency (%)
9 579
 
< 0.1%
7 193
 
< 0.1%
2 49350
2.1%
1 7040
 
0.3%

TETANUS
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1850434
Missing (%)77.7%
Infinite0
Infinite (%)0.0%
Mean3.38667291
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.431711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.665238011
Coefficient of variation (CV)0.4917032306
Kurtosis0.653083931
Mean3.38667291
Median Absolute Deviation (MAD)1
Skewness0.6501564099
Sum1793626
Variance2.773017633
MonotonicityNot monotonic
2025-05-10T13:44:48.462862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 210344
 
8.8%
3 132167
 
5.6%
1 93971
 
3.9%
7 50913
 
2.1%
2 39225
 
1.6%
9 2993
 
0.1%
(Missing) 1850434
77.7%
ValueCountFrequency (%)
1 93971
3.9%
2 39225
 
1.6%
3 132167
5.6%
4 210344
8.8%
7 50913
 
2.1%
ValueCountFrequency (%)
9 2993
 
0.1%
7 50913
 
2.1%
4 210344
8.8%
3 132167
5.6%
2 39225
 
1.6%

HPVADVC2
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2306324
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean2.228042809
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.492545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.308341289
Coefficient of variation (CV)0.5872155076
Kurtosis10.13328036
Mean2.228042809
Median Absolute Deviation (MAD)0
Skewness3.297752673
Sum164258
Variance1.711756929
MonotonicityNot monotonic
2025-05-10T13:44:48.524699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 61847
 
2.6%
1 7127
 
0.3%
7 4421
 
0.2%
9 251
 
< 0.1%
3 77
 
< 0.1%
(Missing) 2306324
96.9%
ValueCountFrequency (%)
1 7127
 
0.3%
2 61847
2.6%
3 77
 
< 0.1%
7 4421
 
0.2%
9 251
 
< 0.1%
ValueCountFrequency (%)
9 251
 
< 0.1%
7 4421
 
0.2%
3 77
 
< 0.1%
2 61847
2.6%
1 7127
 
0.3%

HPVADSHT
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.1%
Missing2372926
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean12.8033984
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.556871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation25.92790555
Coefficient of variation (CV)2.025079962
Kurtosis2.426135858
Mean12.8033984
Median Absolute Deviation (MAD)0
Skewness2.096725136
Sum91173
Variance672.2562862
MonotonicityNot monotonic
2025-05-10T13:44:48.586848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 3858
 
0.2%
1 1304
 
0.1%
2 972
 
< 0.1%
77 971
 
< 0.1%
99 16
 
< 0.1%
(Missing) 2372926
99.7%
ValueCountFrequency (%)
1 1304
 
0.1%
2 972
 
< 0.1%
3 3858
0.2%
77 971
 
< 0.1%
99 16
 
< 0.1%
ValueCountFrequency (%)
99 16
 
< 0.1%
77 971
 
< 0.1%
3 3858
0.2%
2 972
 
< 0.1%
1 1304
 
0.1%

SHINGLE2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2056877
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean1.851437324
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.615298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9225092554
Coefficient of variation (CV)0.4982665324
Kurtosis26.95819908
Mean1.851437324
Median Absolute Deviation (MAD)0
Skewness4.493301257
Sum598329
Variance0.8510233264
MonotonicityNot monotonic
2025-05-10T13:44:48.645938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 231981
 
9.7%
1 84373
 
3.5%
7 5675
 
0.2%
9 1141
 
< 0.1%
(Missing) 2056877
86.4%
ValueCountFrequency (%)
1 84373
 
3.5%
2 231981
9.7%
7 5675
 
0.2%
9 1141
 
< 0.1%
ValueCountFrequency (%)
9 1141
 
< 0.1%
7 5675
 
0.2%
2 231981
9.7%
1 84373
 
3.5%

HADMAM
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1794614
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean1.242892013
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.675766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6805984996
Coefficient of variation (CV)0.5475926245
Kurtosis77.45199902
Mean1.242892013
Median Absolute Deviation (MAD)0
Skewness7.432219578
Sum727630
Variance0.4632143176
MonotonicityNot monotonic
2025-05-10T13:44:48.707258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 464430
 
19.5%
2 117803
 
4.9%
9 2597
 
0.1%
7 603
 
< 0.1%
(Missing) 1794614
75.4%
ValueCountFrequency (%)
1 464430
19.5%
2 117803
 
4.9%
7 603
 
< 0.1%
9 2597
 
0.1%
ValueCountFrequency (%)
9 2597
 
0.1%
7 603
 
< 0.1%
2 117803
 
4.9%
1 464430
19.5%

HOWLONG
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing1915759
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean1.880860587
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.737657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.394146459
Coefficient of variation (CV)0.7412279616
Kurtosis1.978682186
Mean1.880860587
Median Absolute Deviation (MAD)0
Skewness1.640216794
Sum873261
Variance1.943644348
MonotonicityNot monotonic
2025-05-10T13:44:48.770761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 283305
 
11.9%
2 78303
 
3.3%
5 40152
 
1.7%
3 33067
 
1.4%
4 24586
 
1.0%
7 4415
 
0.2%
9 460
 
< 0.1%
(Missing) 1915759
80.5%
ValueCountFrequency (%)
1 283305
11.9%
2 78303
 
3.3%
3 33067
 
1.4%
4 24586
 
1.0%
5 40152
 
1.7%
ValueCountFrequency (%)
9 460
 
< 0.1%
7 4415
 
0.2%
5 40152
1.7%
4 24586
1.0%
3 33067
1.4%

HADPAP2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1795661
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean1.116535988
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.801843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7014688888
Coefficient of variation (CV)0.6282546163
Kurtosis92.99166198
Mean1.116535988
Median Absolute Deviation (MAD)0
Skewness9.256063709
Sum652488
Variance0.492058602
MonotonicityNot monotonic
2025-05-10T13:44:48.833066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 547751
 
23.0%
2 31444
 
1.3%
9 2756
 
0.1%
7 2435
 
0.1%
(Missing) 1795661
75.4%
ValueCountFrequency (%)
1 547751
23.0%
2 31444
 
1.3%
7 2435
 
0.1%
9 2756
 
0.1%
ValueCountFrequency (%)
9 2756
 
0.1%
7 2435
 
0.1%
2 31444
 
1.3%
1 547751
23.0%

LASTPAP2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing1832478
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean2.543164423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.863330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.713201203
Coefficient of variation (CV)0.673649406
Kurtosis-0.6638455629
Mean2.543164423
Median Absolute Deviation (MAD)1
Skewness0.7498515341
Sum1392558
Variance2.935058362
MonotonicityNot monotonic
2025-05-10T13:44:48.895189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 233593
 
9.8%
5 113459
 
4.8%
2 97390
 
4.1%
3 51064
 
2.1%
4 40683
 
1.7%
7 10727
 
0.5%
9 653
 
< 0.1%
(Missing) 1832478
77.0%
ValueCountFrequency (%)
1 233593
9.8%
2 97390
4.1%
3 51064
 
2.1%
4 40683
 
1.7%
5 113459
4.8%
ValueCountFrequency (%)
9 653
 
< 0.1%
7 10727
 
0.5%
5 113459
4.8%
4 40683
 
1.7%
3 51064
2.1%

HPVTEST
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2339707
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.997421914
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.925790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.381569685
Coefficient of variation (CV)0.7945393586
Kurtosis-0.7568376209
Mean2.997421914
Median Absolute Deviation (MAD)1
Skewness1.031216312
Sum120916
Variance5.671874163
MonotonicityNot monotonic
2025-05-10T13:44:48.956305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 19018
 
0.8%
1 11091
 
0.5%
7 10145
 
0.4%
9 86
 
< 0.1%
(Missing) 2339707
98.3%
ValueCountFrequency (%)
1 11091
0.5%
2 19018
0.8%
7 10145
0.4%
9 86
 
< 0.1%
ValueCountFrequency (%)
9 86
 
< 0.1%
7 10145
0.4%
2 19018
0.8%
1 11091
0.5%

HPLSTTST
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2368961
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.657405737
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:48.987155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.849522412
Coefficient of variation (CV)0.6959879653
Kurtosis-0.4968121032
Mean2.657405737
Median Absolute Deviation (MAD)1
Skewness0.8212615167
Sum29460
Variance3.420733152
MonotonicityNot monotonic
2025-05-10T13:44:49.018337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 4617
 
0.2%
5 2043
 
0.1%
2 1928
 
0.1%
3 1041
 
< 0.1%
4 856
 
< 0.1%
7 592
 
< 0.1%
9 9
 
< 0.1%
(Missing) 2368961
99.5%
ValueCountFrequency (%)
1 4617
0.2%
2 1928
0.1%
3 1041
 
< 0.1%
4 856
 
< 0.1%
5 2043
0.1%
ValueCountFrequency (%)
9 9
 
< 0.1%
7 592
 
< 0.1%
5 2043
0.1%
4 856
< 0.1%
3 1041
< 0.1%

HADHYST2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1801854
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean1.743504332
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.049127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7204297722
Coefficient of variation (CV)0.413207905
Kurtosis53.96034995
Mean1.743504332
Median Absolute Deviation (MAD)0
Skewness5.471813136
Sum1008082
Variance0.5190190566
MonotonicityNot monotonic
2025-05-10T13:44:49.079721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 401389
 
16.9%
1 173040
 
7.3%
9 2958
 
0.1%
7 806
 
< 0.1%
(Missing) 1801854
75.7%
ValueCountFrequency (%)
1 173040
7.3%
2 401389
16.9%
7 806
 
< 0.1%
9 2958
 
0.1%
ValueCountFrequency (%)
9 2958
 
0.1%
7 806
 
< 0.1%
2 401389
16.9%
1 173040
7.3%

PROFEXAM
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1812328
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean1.160648138
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.109540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7366827648
Coefficient of variation (CV)0.6347167079
Kurtosis76.67533494
Mean1.160648138
Median Absolute Deviation (MAD)0
Skewness8.20581339
Sum658922
Variance0.542701496
MonotonicityNot monotonic
2025-05-10T13:44:49.140860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 508831
 
21.4%
2 53501
 
2.2%
7 2697
 
0.1%
9 2690
 
0.1%
(Missing) 1812328
76.1%
ValueCountFrequency (%)
1 508831
21.4%
2 53501
 
2.2%
7 2697
 
0.1%
9 2690
 
0.1%
ValueCountFrequency (%)
9 2690
 
0.1%
7 2697
 
0.1%
2 53501
 
2.2%
1 508831
21.4%

LENGEXAM
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing1871394
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean1.869777628
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.170953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.433479441
Coefficient of variation (CV)0.7666577131
Kurtosis2.309589815
Mean1.869777628
Median Absolute Deviation (MAD)0
Skewness1.74151275
Sum951068
Variance2.054863306
MonotonicityNot monotonic
2025-05-10T13:44:49.202082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 318940
 
13.4%
2 81320
 
3.4%
5 42935
 
1.8%
3 32973
 
1.4%
4 24093
 
1.0%
7 8003
 
0.3%
9 389
 
< 0.1%
(Missing) 1871394
78.6%
ValueCountFrequency (%)
1 318940
13.4%
2 81320
 
3.4%
3 32973
 
1.4%
4 24093
 
1.0%
5 42935
 
1.8%
ValueCountFrequency (%)
9 389
 
< 0.1%
7 8003
 
0.3%
5 42935
1.8%
4 24093
1.0%
3 32973
1.4%

BLDSTOOL
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1663514
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean1.708140449
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.231305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8593719245
Coefficient of variation (CV)0.5031037847
Kurtosis35.28638975
Mean1.708140449
Median Absolute Deviation (MAD)0
Skewness4.840957808
Sum1223939
Variance0.7385201046
MonotonicityNot monotonic
2025-05-10T13:44:49.262337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 442764
 
18.6%
1 264201
 
11.1%
7 5951
 
0.3%
9 3617
 
0.2%
(Missing) 1663514
69.9%
ValueCountFrequency (%)
1 264201
11.1%
2 442764
18.6%
7 5951
 
0.3%
9 3617
 
0.2%
ValueCountFrequency (%)
9 3617
 
0.2%
7 5951
 
0.3%
2 442764
18.6%
1 264201
11.1%

LSTBLDS3
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2115940
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean3.289303199
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.293817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.772858343
Coefficient of variation (CV)0.53897687
Kurtosis-1.180224218
Mean3.289303199
Median Absolute Deviation (MAD)2
Skewness0.04890310339
Sum868728
Variance3.143026703
MonotonicityNot monotonic
2025-05-10T13:44:49.324678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 88857
 
3.7%
1 68182
 
2.9%
2 36367
 
1.5%
4 33814
 
1.4%
3 27627
 
1.2%
7 8975
 
0.4%
9 285
 
< 0.1%
(Missing) 2115940
88.9%
ValueCountFrequency (%)
1 68182
2.9%
2 36367
1.5%
3 27627
 
1.2%
4 33814
 
1.4%
5 88857
3.7%
ValueCountFrequency (%)
9 285
 
< 0.1%
7 8975
 
0.4%
5 88857
3.7%
4 33814
 
1.4%
3 27627
 
1.2%

HADSIGM3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1664441
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean1.358401131
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.355031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8191701832
Coefficient of variation (CV)0.6030399742
Kurtosis47.23174094
Mean1.358401131
Median Absolute Deviation (MAD)0
Skewness5.900824118
Sum972080
Variance0.671039789
MonotonicityNot monotonic
2025-05-10T13:44:49.386166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 503314
 
21.1%
2 204900
 
8.6%
7 3781
 
0.2%
9 3611
 
0.2%
(Missing) 1664441
69.9%
ValueCountFrequency (%)
1 503314
21.1%
2 204900
8.6%
7 3781
 
0.2%
9 3611
 
0.2%
ValueCountFrequency (%)
9 3611
 
0.2%
7 3781
 
0.2%
2 204900
8.6%
1 503314
21.1%

HADSGCO1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1877169
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean2.074157151
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.416497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8050638087
Coefficient of variation (CV)0.3881402179
Kurtosis35.04313343
Mean2.074157151
Median Absolute Deviation (MAD)0
Skewness5.737034118
Sum1043048
Variance0.648127736
MonotonicityNot monotonic
2025-05-10T13:44:49.447275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 469168
 
19.7%
1 22105
 
0.9%
7 10919
 
0.5%
9 686
 
< 0.1%
(Missing) 1877169
78.9%
ValueCountFrequency (%)
1 22105
 
0.9%
2 469168
19.7%
7 10919
 
0.5%
9 686
 
< 0.1%
ValueCountFrequency (%)
9 686
 
< 0.1%
7 10919
 
0.5%
2 469168
19.7%
1 22105
 
0.9%

LASTSIG3
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing1877401
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean3.228041206
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.477393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.64891085
Coefficient of variation (CV)0.5108084888
Kurtosis-0.9580788042
Mean3.228041206
Median Absolute Deviation (MAD)1
Skewness0.1482405268
Sum1622562
Variance2.718906992
MonotonicityNot monotonic
2025-05-10T13:44:49.508933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 108233
 
4.5%
4 108015
 
4.5%
5 90661
 
3.8%
2 81727
 
3.4%
3 75675
 
3.2%
6 30902
 
1.3%
7 6912
 
0.3%
9 521
 
< 0.1%
(Missing) 1877401
78.9%
ValueCountFrequency (%)
1 108233
4.5%
2 81727
3.4%
3 75675
3.2%
4 108015
4.5%
5 90661
3.8%
ValueCountFrequency (%)
9 521
 
< 0.1%
7 6912
 
0.3%
6 30902
 
1.3%
5 90661
3.8%
4 108015
4.5%

PCPSAAD2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2228382
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1.567942505
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.538428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.203149703
Coefficient of variation (CV)0.7673429986
Kurtosis16.66209022
Mean1.567942505
Median Absolute Deviation (MAD)0
Skewness3.917754164
Sum237802
Variance1.447569209
MonotonicityNot monotonic
2025-05-10T13:44:49.569730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 94369
 
4.0%
2 51793
 
2.2%
7 4840
 
0.2%
9 663
 
< 0.1%
(Missing) 2228382
93.6%
ValueCountFrequency (%)
1 94369
4.0%
2 51793
2.2%
7 4840
 
0.2%
9 663
 
< 0.1%
ValueCountFrequency (%)
9 663
 
< 0.1%
7 4840
 
0.2%
2 51793
2.2%
1 94369
4.0%

PCPSADI1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2086166
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.948526785
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.599660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.212228937
Coefficient of variation (CV)0.622125878
Kurtosis14.42935774
Mean1.948526785
Median Absolute Deviation (MAD)0
Skewness3.617706409
Sum572635
Variance1.469498995
MonotonicityNot monotonic
2025-05-10T13:44:49.629607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 200174
 
8.4%
1 81123
 
3.4%
7 11046
 
0.5%
9 1538
 
0.1%
(Missing) 2086166
87.7%
ValueCountFrequency (%)
1 81123
3.4%
2 200174
8.4%
7 11046
 
0.5%
9 1538
 
0.1%
ValueCountFrequency (%)
9 1538
 
0.1%
7 11046
 
0.5%
2 200174
8.4%
1 81123
3.4%

PCPSARE1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2086409
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.652657354
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.659645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249829259
Coefficient of variation (CV)0.7562543176
Kurtosis15.17710849
Mean1.652657354
Median Absolute Deviation (MAD)0
Skewness3.737793374
Sum485283
Variance1.562073177
MonotonicityNot monotonic
2025-05-10T13:44:49.689652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 163470
 
6.9%
2 118537
 
5.0%
7 9970
 
0.4%
9 1661
 
0.1%
(Missing) 2086409
87.7%
ValueCountFrequency (%)
1 163470
6.9%
2 118537
5.0%
7 9970
 
0.4%
9 1661
 
0.1%
ValueCountFrequency (%)
9 1661
 
0.1%
7 9970
 
0.4%
2 118537
5.0%
1 163470
6.9%

PSATEST1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2087104
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.647504805
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.719014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.333059637
Coefficient of variation (CV)0.8091385426
Kurtosis12.47521324
Mean1.647504805
Median Absolute Deviation (MAD)0
Skewness3.495282278
Sum482625
Variance1.777047995
MonotonicityNot monotonic
2025-05-10T13:44:49.749760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 175741
 
7.4%
2 103244
 
4.3%
7 12613
 
0.5%
9 1345
 
0.1%
(Missing) 2087104
87.7%
ValueCountFrequency (%)
1 175741
7.4%
2 103244
4.3%
7 12613
 
0.5%
9 1345
 
0.1%
ValueCountFrequency (%)
9 1345
 
0.1%
7 12613
 
0.5%
2 103244
4.3%
1 175741
7.4%

PSATIME
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2204371
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean1.882710217
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.779624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429499219
Coefficient of variation (CV)0.7592773474
Kurtosis2.398345159
Mean1.882710217
Median Absolute Deviation (MAD)0
Skewness1.729524058
Sum330747
Variance2.043468018
MonotonicityNot monotonic
2025-05-10T13:44:49.812366image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 109033
 
4.6%
2 27089
 
1.1%
3 13101
 
0.6%
5 12460
 
0.5%
4 10768
 
0.5%
7 3082
 
0.1%
9 143
 
< 0.1%
(Missing) 2204371
92.6%
ValueCountFrequency (%)
1 109033
4.6%
2 27089
 
1.1%
3 13101
 
0.6%
4 10768
 
0.5%
5 12460
 
0.5%
ValueCountFrequency (%)
9 143
 
< 0.1%
7 3082
 
0.1%
5 12460
0.5%
4 10768
0.5%
3 13101
0.6%

PCPSARS1
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2206239
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean1.804232256
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.843201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.475050615
Coefficient of variation (CV)0.817550296
Kurtosis1.922227008
Mean1.804232256
Median Absolute Deviation (MAD)0
Skewness1.71615182
Sum313590
Variance2.175774317
MonotonicityNot monotonic
2025-05-10T13:44:49.875445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 124632
 
5.2%
5 19230
 
0.8%
2 11798
 
0.5%
3 8698
 
0.4%
4 7904
 
0.3%
7 1206
 
0.1%
9 340
 
< 0.1%
(Missing) 2206239
92.7%
ValueCountFrequency (%)
1 124632
5.2%
2 11798
 
0.5%
3 8698
 
0.4%
4 7904
 
0.3%
5 19230
 
0.8%
ValueCountFrequency (%)
9 340
 
< 0.1%
7 1206
 
0.1%
5 19230
0.8%
4 7904
0.3%
3 8698
0.4%

PCPSADE1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.2%
Missing2377245
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.288008565
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:49.905797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.042574103
Coefficient of variation (CV)0.4556687936
Kurtosis5.766431518
Mean2.288008565
Median Absolute Deviation (MAD)1
Skewness1.218017255
Sum6411
Variance1.08696076
MonotonicityNot monotonic
2025-05-10T13:44:49.936427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 962
 
< 0.1%
3 845
 
< 0.1%
1 696
 
< 0.1%
4 287
 
< 0.1%
9 12
 
< 0.1%
(Missing) 2377245
99.9%
ValueCountFrequency (%)
1 696
< 0.1%
2 962
< 0.1%
3 845
< 0.1%
4 287
 
< 0.1%
9 12
 
< 0.1%
ValueCountFrequency (%)
9 12
 
< 0.1%
4 287
 
< 0.1%
3 845
< 0.1%
2 962
< 0.1%
1 696
< 0.1%

PCDMDECN
Text

Missing 

Distinct27
Distinct (%)< 0.1%
Missing971131
Missing (%)40.8%
Memory size18.2 MiB
2025-05-10T13:44:49.964115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.002098067
Min length3

Characters and Unicode

Total characters4229704
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 1406741
99.8%
b'1 1330
 
0.1%
b'18 501
 
< 0.1%
b'2 82
 
< 0.1%
b'128 74
 
< 0.1%
b'28 38
 
< 0.1%
b'9 33
 
< 0.1%
b'3 24
 
< 0.1%
b'12 24
 
< 0.1%
b'4 16
 
< 0.1%
Other values (17) 53
 
< 0.1%
2025-05-10T13:44:50.030938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 2817832
66.6%
b 1408916
33.3%
1 1958
 
< 0.1%
8 645
 
< 0.1%
2 234
 
< 0.1%
3 43
 
< 0.1%
9 33
 
< 0.1%
4 31
 
< 0.1%
7 11
 
< 0.1%
0 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4229704
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 2817832
66.6%
b 1408916
33.3%
1 1958
 
< 0.1%
8 645
 
< 0.1%
2 234
 
< 0.1%
3 43
 
< 0.1%
9 33
 
< 0.1%
4 31
 
< 0.1%
7 11
 
< 0.1%
0 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4229704
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 2817832
66.6%
b 1408916
33.3%
1 1958
 
< 0.1%
8 645
 
< 0.1%
2 234
 
< 0.1%
3 43
 
< 0.1%
9 33
 
< 0.1%
4 31
 
< 0.1%
7 11
 
< 0.1%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4229704
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 2817832
66.6%
b 1408916
33.3%
1 1958
 
< 0.1%
8 645
 
< 0.1%
2 234
 
< 0.1%
3 43
 
< 0.1%
9 33
 
< 0.1%
4 31
 
< 0.1%
7 11
 
< 0.1%
0 1
 
< 0.1%

SCNTMNY1
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2292830
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean4.132451242
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.064128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.40569903
Coefficient of variation (CV)0.3401610686
Kurtosis0.8863350451
Mean4.132451242
Median Absolute Deviation (MAD)0
Skewness-0.6015024119
Sum360420
Variance1.975989764
MonotonicityNot monotonic
2025-05-10T13:44:50.094507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 47431
 
2.0%
4 13703
 
0.6%
3 13048
 
0.5%
1 7695
 
0.3%
2 3532
 
0.1%
8 1418
 
0.1%
9 238
 
< 0.1%
7 152
 
< 0.1%
(Missing) 2292830
96.3%
ValueCountFrequency (%)
1 7695
 
0.3%
2 3532
 
0.1%
3 13048
 
0.5%
4 13703
 
0.6%
5 47431
2.0%
ValueCountFrequency (%)
9 238
 
< 0.1%
8 1418
 
0.1%
7 152
 
< 0.1%
5 47431
2.0%
4 13703
 
0.6%

SCNTMEL1
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2288098
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean4.340068951
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.124999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.191095389
Coefficient of variation (CV)0.274441582
Kurtosis2.087076437
Mean4.340068951
Median Absolute Deviation (MAD)0
Skewness-1.321348844
Sum399065
Variance1.418708226
MonotonicityNot monotonic
2025-05-10T13:44:50.156238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 61481
 
2.6%
4 10883
 
0.5%
3 10855
 
0.5%
1 5206
 
0.2%
2 2993
 
0.1%
9 281
 
< 0.1%
7 158
 
< 0.1%
8 92
 
< 0.1%
(Missing) 2288098
96.1%
ValueCountFrequency (%)
1 5206
 
0.2%
2 2993
 
0.1%
3 10855
 
0.5%
4 10883
 
0.5%
5 61481
2.6%
ValueCountFrequency (%)
9 281
 
< 0.1%
8 92
 
< 0.1%
7 158
 
< 0.1%
5 61481
2.6%
4 10883
 
0.5%

SCNTPAID
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2257459
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.915546383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.187132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.128603384
Coefficient of variation (CV)0.589180922
Kurtosis14.38784918
Mean1.915546383
Median Absolute Deviation (MAD)1
Skewness2.984067086
Sum234823
Variance1.273745599
MonotonicityNot monotonic
2025-05-10T13:44:50.217760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 56178
 
2.4%
1 46668
 
2.0%
3 10474
 
0.4%
4 7611
 
0.3%
9 1167
 
< 0.1%
7 490
 
< 0.1%
(Missing) 2257459
94.8%
ValueCountFrequency (%)
1 46668
2.0%
2 56178
2.4%
3 10474
 
0.4%
4 7611
 
0.3%
7 490
 
< 0.1%
ValueCountFrequency (%)
9 1167
 
< 0.1%
7 490
 
< 0.1%
4 7611
 
0.3%
3 10474
 
0.4%
2 56178
2.4%

SCNTWRK1
Real number (ℝ)

Missing 

Distinct99
Distinct (%)0.1%
Missing2257516
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean43.78108397
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.429266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q139
median40
Q350
95-th percentile75
Maximum99
Range98
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.68993566
Coefficient of variation (CV)0.3812133952
Kurtosis2.256452365
Mean43.78108397
Median Absolute Deviation (MAD)8
Skewness0.8789798692
Sum5364540
Variance278.5539525
MonotonicityNot monotonic
2025-05-10T13:44:50.469469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 39678
 
1.7%
50 15338
 
0.6%
60 8797
 
0.4%
45 8536
 
0.4%
30 5690
 
0.2%
20 4220
 
0.2%
35 3678
 
0.2%
55 3562
 
0.1%
25 2422
 
0.1%
70 2354
 
0.1%
Other values (89) 28256
 
1.2%
(Missing) 2257516
94.9%
ValueCountFrequency (%)
1 57
 
< 0.1%
2 128
 
< 0.1%
3 131
 
< 0.1%
4 239
< 0.1%
5 341
< 0.1%
ValueCountFrequency (%)
99 971
< 0.1%
98 410
 
< 0.1%
97 2034
0.1%
96 417
 
< 0.1%
95 20
 
< 0.1%

SCNTLPAD
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2296940
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean1.921919935
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.501179image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.347446865
Coefficient of variation (CV)0.7010941719
Kurtosis10.56902613
Mean1.921919935
Median Absolute Deviation (MAD)1
Skewness2.925105658
Sum159725
Variance1.815613054
MonotonicityNot monotonic
2025-05-10T13:44:50.532463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 36141
 
1.5%
2 34927
 
1.5%
3 4640
 
0.2%
4 4629
 
0.2%
7 1818
 
0.1%
9 952
 
< 0.1%
(Missing) 2296940
96.5%
ValueCountFrequency (%)
1 36141
1.5%
2 34927
1.5%
3 4640
 
0.2%
4 4629
 
0.2%
7 1818
 
0.1%
ValueCountFrequency (%)
9 952
 
< 0.1%
7 1818
 
0.1%
4 4629
 
0.2%
3 4640
 
0.2%
2 34927
1.5%

SCNTLWK1
Real number (ℝ)

Missing 

Distinct98
Distinct (%)0.1%
Missing2267368
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean46.99713345
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.572064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q140
median40
Q350
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation22.30574313
Coefficient of variation (CV)0.4746192265
Kurtosis0.7780281487
Mean46.99713345
Median Absolute Deviation (MAD)8
Skewness1.041218783
Sum5295590
Variance497.5461765
MonotonicityNot monotonic
2025-05-10T13:44:50.612450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 45842
 
1.9%
50 9444
 
0.4%
97 6954
 
0.3%
60 6406
 
0.3%
98 4679
 
0.2%
45 4535
 
0.2%
30 4298
 
0.2%
20 4155
 
0.2%
35 2532
 
0.1%
25 1642
 
0.1%
Other values (88) 22192
 
0.9%
(Missing) 2267368
95.3%
ValueCountFrequency (%)
1 50
 
< 0.1%
2 124
 
< 0.1%
3 143
< 0.1%
4 282
< 0.1%
5 341
< 0.1%
ValueCountFrequency (%)
99 1118
 
< 0.1%
98 4679
0.2%
97 6954
0.3%
96 373
 
< 0.1%
95 7
 
< 0.1%

SXORIENT
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2059810
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.242589082
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.643330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.21371662
Coefficient of variation (CV)0.9767642719
Kurtosis30.62502603
Mean1.242589082
Median Absolute Deviation (MAD)0
Skewness5.5654253
Sum397923
Variance1.473108035
MonotonicityNot monotonic
2025-05-10T13:44:50.674760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 302341
 
12.7%
9 5528
 
0.2%
3 4243
 
0.2%
2 4129
 
0.2%
7 2953
 
0.1%
4 1043
 
< 0.1%
(Missing) 2059810
86.5%
ValueCountFrequency (%)
1 302341
12.7%
2 4129
 
0.2%
3 4243
 
0.2%
4 1043
 
< 0.1%
7 2953
 
0.1%
ValueCountFrequency (%)
9 5528
0.2%
7 2953
0.1%
4 1043
 
< 0.1%
3 4243
0.2%
2 4129
0.2%

TRNSGNDR
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2059078
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean4.05568139
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.704910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5613539096
Coefficient of variation (CV)0.1384117379
Kurtosis60.25974372
Mean4.05568139
Median Absolute Deviation (MAD)0
Skewness6.86739521
Sum1301748
Variance0.3151182118
MonotonicityNot monotonic
2025-05-10T13:44:50.736404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 314450
 
13.2%
9 2992
 
0.1%
7 2084
 
0.1%
1 724
 
< 0.1%
2 449
 
< 0.1%
3 270
 
< 0.1%
(Missing) 2059078
86.5%
ValueCountFrequency (%)
1 724
 
< 0.1%
2 449
 
< 0.1%
3 270
 
< 0.1%
4 314450
13.2%
7 2084
 
0.1%
ValueCountFrequency (%)
9 2992
 
0.1%
7 2084
 
0.1%
4 314450
13.2%
3 270
 
< 0.1%
2 449
 
< 0.1%

RCSGENDR
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2053739
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean1.768565282
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.765972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.518076946
Coefficient of variation (CV)0.8583663616
Kurtosis16.58734952
Mean1.768565282
Median Absolute Deviation (MAD)1
Skewness4.042085076
Sum577097
Variance2.304557615
MonotonicityNot monotonic
2025-05-10T13:44:50.795931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 162263
 
6.8%
2 151653
 
6.4%
9 12392
 
0.5%
(Missing) 2053739
86.3%
ValueCountFrequency (%)
1 162263
6.8%
2 151653
6.4%
9 12392
 
0.5%
ValueCountFrequency (%)
9 12392
 
0.5%
2 151653
6.4%
1 162263
6.8%

RCSRLTN2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2054609
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean1.623667181
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.826739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.671391506
Coefficient of variation (CV)1.029392924
Kurtosis10.18482559
Mean1.623667181
Median Absolute Deviation (MAD)0
Skewness3.218941454
Sum528403
Variance2.793549568
MonotonicityNot monotonic
2025-05-10T13:44:50.857569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 262409
 
11.0%
2 24862
 
1.0%
4 13006
 
0.5%
9 10287
 
0.4%
5 7050
 
0.3%
6 4067
 
0.2%
3 3572
 
0.2%
7 185
 
< 0.1%
(Missing) 2054609
86.3%
ValueCountFrequency (%)
1 262409
11.0%
2 24862
 
1.0%
3 3572
 
0.2%
4 13006
 
0.5%
5 7050
 
0.3%
ValueCountFrequency (%)
9 10287
0.4%
7 185
 
< 0.1%
6 4067
 
0.2%
5 7050
0.3%
4 13006
0.5%

CASTHDX2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2078318
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean2.117161426
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.887900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.333452508
Coefficient of variation (CV)0.6298303433
Kurtosis19.40136417
Mean2.117161426
Median Absolute Deviation (MAD)0
Skewness4.38091077
Sum638809
Variance1.778095591
MonotonicityNot monotonic
2025-05-10T13:44:50.918282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 249990
 
10.5%
1 40152
 
1.7%
9 8784
 
0.4%
7 2803
 
0.1%
(Missing) 2078318
87.3%
ValueCountFrequency (%)
1 40152
 
1.7%
2 249990
10.5%
7 2803
 
0.1%
9 8784
 
0.4%
ValueCountFrequency (%)
9 8784
 
0.4%
7 2803
 
0.1%
2 249990
10.5%
1 40152
 
1.7%

CASTHNO2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2339911
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean1.468830975
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:50.947729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.004598962
Coefficient of variation (CV)0.6839445649
Kurtosis20.88468275
Mean1.468830975
Median Absolute Deviation (MAD)0
Skewness4.2507769
Sum58953
Variance1.009219074
MonotonicityNot monotonic
2025-05-10T13:44:50.977775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 26369
 
1.1%
2 12763
 
0.5%
7 989
 
< 0.1%
9 15
 
< 0.1%
(Missing) 2339911
98.3%
ValueCountFrequency (%)
1 26369
1.1%
2 12763
0.5%
7 989
 
< 0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
9 15
 
< 0.1%
7 989
 
< 0.1%
2 12763
0.5%
1 26369
1.1%

EMTSUPRT
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2332692
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean1.979917643
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.007050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.640029508
Coefficient of variation (CV)0.8283321853
Kurtosis7.628501893
Mean1.979917643
Median Absolute Deviation (MAD)0
Skewness2.636151959
Sum93759
Variance2.689696788
MonotonicityNot monotonic
2025-05-10T13:44:51.039289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 25380
 
1.1%
2 12184
 
0.5%
3 4885
 
0.2%
5 1678
 
0.1%
4 1392
 
0.1%
9 1273
 
0.1%
7 563
 
< 0.1%
(Missing) 2332692
98.0%
ValueCountFrequency (%)
1 25380
1.1%
2 12184
0.5%
3 4885
 
0.2%
4 1392
 
0.1%
5 1678
 
0.1%
ValueCountFrequency (%)
9 1273
 
0.1%
7 563
 
< 0.1%
5 1678
 
0.1%
4 1392
 
0.1%
3 4885
0.2%

LSATISFY
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2332712
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean1.81049963
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.070513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.388784775
Coefficient of variation (CV)0.7670726644
Kurtosis16.93803857
Mean1.81049963
Median Absolute Deviation (MAD)1
Skewness3.887890854
Sum85700
Variance1.928723152
MonotonicityNot monotonic
2025-05-10T13:44:51.101438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21848
 
0.9%
2 21613
 
0.9%
3 1870
 
0.1%
9 1226
 
0.1%
4 488
 
< 0.1%
7 290
 
< 0.1%
(Missing) 2332712
98.0%
ValueCountFrequency (%)
1 21848
0.9%
2 21613
0.9%
3 1870
 
0.1%
4 488
 
< 0.1%
7 290
 
< 0.1%
ValueCountFrequency (%)
9 1226
 
0.1%
7 290
 
< 0.1%
4 488
 
< 0.1%
3 1870
 
0.1%
2 21613
0.9%

ADPLEASR
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345061
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean63.47153147
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.133938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.53426719
Coefficient of variation (CV)0.5913559405
Kurtosis-1.14795934
Mean63.47153147
Median Absolute Deviation (MAD)0
Skewness-0.9061822862
Sum2220615
Variance1408.821213
MonotonicityNot monotonic
2025-05-10T13:44:51.166133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 23519
 
1.0%
2 2307
 
0.1%
14 1783
 
0.1%
1 1630
 
0.1%
3 1139
 
< 0.1%
77 973
 
< 0.1%
5 739
 
< 0.1%
4 734
 
< 0.1%
7 725
 
< 0.1%
10 582
 
< 0.1%
Other values (7) 855
 
< 0.1%
(Missing) 2345061
98.5%
ValueCountFrequency (%)
1 1630
0.1%
2 2307
0.1%
3 1139
< 0.1%
4 734
 
< 0.1%
5 739
 
< 0.1%
ValueCountFrequency (%)
99 182
 
< 0.1%
88 23519
1.0%
77 973
 
< 0.1%
14 1783
 
0.1%
13 34
 
< 0.1%

ADDOWN
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345088
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean66.73488944
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.197172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q114
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation36.16014946
Coefficient of variation (CV)0.5418477466
Kurtosis-0.710471993
Mean66.73488944
Median Absolute Deviation (MAD)0
Skewness-1.124697656
Sum2332985
Variance1307.556409
MonotonicityNot monotonic
2025-05-10T13:44:51.230511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 25616
 
1.1%
2 1985
 
0.1%
1 1798
 
0.1%
14 1538
 
0.1%
3 942
 
< 0.1%
5 638
 
< 0.1%
7 610
 
< 0.1%
4 557
 
< 0.1%
10 425
 
< 0.1%
77 264
 
< 0.1%
Other values (7) 586
 
< 0.1%
(Missing) 2345088
98.5%
ValueCountFrequency (%)
1 1798
0.1%
2 1985
0.1%
3 942
< 0.1%
4 557
 
< 0.1%
5 638
 
< 0.1%
ValueCountFrequency (%)
99 103
 
< 0.1%
88 25616
1.1%
77 264
 
< 0.1%
14 1538
 
0.1%
13 19
 
< 0.1%

ADSLEEP
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345101
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean51.32819207
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.262244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)81

Descriptive statistics

Standard deviation40.27263468
Coefficient of variation (CV)0.7846104267
Kurtosis-1.926078998
Mean51.32819207
Median Absolute Deviation (MAD)0
Skewness-0.2071733282
Sum1793715
Variance1621.885104
MonotonicityNot monotonic
2025-05-10T13:44:51.296042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 18654
 
0.8%
14 4855
 
0.2%
2 2503
 
0.1%
3 1668
 
0.1%
1 1496
 
0.1%
4 1217
 
0.1%
5 1102
 
< 0.1%
7 963
 
< 0.1%
10 886
 
< 0.1%
6 465
 
< 0.1%
Other values (7) 1137
 
< 0.1%
(Missing) 2345101
98.5%
ValueCountFrequency (%)
1 1496
0.1%
2 2503
0.1%
3 1668
0.1%
4 1217
0.1%
5 1102
< 0.1%
ValueCountFrequency (%)
99 85
 
< 0.1%
88 18654
0.8%
77 372
 
< 0.1%
14 4855
 
0.2%
13 73
 
< 0.1%

ADENERGY
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345109
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean39.41951457
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.328296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median14
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)85

Descriptive statistics

Standard deviation40.08101542
Coefficient of variation (CV)1.01678105
Kurtosis-1.829884594
Mean39.41951457
Median Absolute Deviation (MAD)12
Skewness0.361416531
Sum1377239
Variance1606.487797
MonotonicityNot monotonic
2025-05-10T13:44:51.362171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 13596
 
0.6%
14 5318
 
0.2%
2 4216
 
0.2%
1 2435
 
0.1%
3 2276
 
0.1%
5 1512
 
0.1%
4 1502
 
0.1%
7 1278
 
0.1%
10 1032
 
< 0.1%
6 481
 
< 0.1%
Other values (7) 1292
 
0.1%
(Missing) 2345109
98.5%
ValueCountFrequency (%)
1 2435
0.1%
2 4216
0.2%
3 2276
0.1%
4 1502
 
0.1%
5 1512
 
0.1%
ValueCountFrequency (%)
99 97
 
< 0.1%
88 13596
0.6%
77 468
 
< 0.1%
14 5318
 
0.2%
13 66
 
< 0.1%

ADEAT1
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345123
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean60.75229069
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.394466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.56239157
Coefficient of variation (CV)0.6347479434
Kurtosis-1.444399927
Mean60.75229069
Median Absolute Deviation (MAD)0
Skewness-0.7276044557
Sum2121713
Variance1487.058044
MonotonicityNot monotonic
2025-05-10T13:44:51.426119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 22826
 
1.0%
14 2678
 
0.1%
2 2223
 
0.1%
1 1513
 
0.1%
3 1383
 
0.1%
5 984
 
< 0.1%
4 832
 
< 0.1%
7 808
 
< 0.1%
10 549
 
< 0.1%
77 432
 
< 0.1%
Other values (7) 696
 
< 0.1%
(Missing) 2345123
98.5%
ValueCountFrequency (%)
1 1513
0.1%
2 2223
0.1%
3 1383
0.1%
4 832
 
< 0.1%
5 984
< 0.1%
ValueCountFrequency (%)
99 80
 
< 0.1%
88 22826
1.0%
77 432
 
< 0.1%
14 2678
 
0.1%
13 20
 
< 0.1%

ADFAIL
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345136
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean73.84328722
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.458137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.9798299
Coefficient of variation (CV)0.4195348157
Kurtosis1.084528611
Mean73.84328722
Median Absolute Deviation (MAD)0
Skewness-1.745266871
Sum2577943
Variance959.7498603
MonotonicityNot monotonic
2025-05-10T13:44:51.490300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 28523
 
1.2%
14 1497
 
0.1%
2 1144
 
< 0.1%
1 1125
 
< 0.1%
3 538
 
< 0.1%
5 401
 
< 0.1%
7 374
 
< 0.1%
4 328
 
< 0.1%
10 282
 
< 0.1%
77 241
 
< 0.1%
Other values (7) 458
 
< 0.1%
(Missing) 2345136
98.5%
ValueCountFrequency (%)
1 1125
< 0.1%
2 1144
< 0.1%
3 538
< 0.1%
4 328
 
< 0.1%
5 401
 
< 0.1%
ValueCountFrequency (%)
99 119
 
< 0.1%
88 28523
1.2%
77 241
 
< 0.1%
14 1497
 
0.1%
13 11
 
< 0.1%

ADTHINK
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345153
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean75.38883476
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.522520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.4554949
Coefficient of variation (CV)0.3907142881
Kurtosis1.749626419
Mean75.38883476
Median Absolute Deviation (MAD)0
Skewness-1.925892937
Sum2630618
Variance867.6261798
MonotonicityNot monotonic
2025-05-10T13:44:51.555062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 29175
 
1.2%
14 1391
 
0.1%
2 1048
 
< 0.1%
1 610
 
< 0.1%
3 505
 
< 0.1%
7 433
 
< 0.1%
5 413
 
< 0.1%
4 390
 
< 0.1%
77 249
 
< 0.1%
10 248
 
< 0.1%
Other values (7) 432
 
< 0.1%
(Missing) 2345153
98.5%
ValueCountFrequency (%)
1 610
< 0.1%
2 1048
< 0.1%
3 505
< 0.1%
4 390
 
< 0.1%
5 413
 
< 0.1%
ValueCountFrequency (%)
99 83
 
< 0.1%
88 29175
1.2%
77 249
 
< 0.1%
14 1391
 
0.1%
13 13
 
< 0.1%

ADMOVE
Real number (ℝ)

Missing 

Distinct17
Distinct (%)< 0.1%
Missing2345172
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean79.72295341
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.587650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.44753631
Coefficient of variation (CV)0.3066561795
Kurtosis5.230639544
Mean79.72295341
Median Absolute Deviation (MAD)0
Skewness-2.674520498
Sum2780338
Variance597.6820318
MonotonicityNot monotonic
2025-05-10T13:44:51.620319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
88 30725
 
1.3%
14 856
 
< 0.1%
2 618
 
< 0.1%
77 587
 
< 0.1%
1 421
 
< 0.1%
3 384
 
< 0.1%
7 282
 
< 0.1%
5 272
 
< 0.1%
4 232
 
< 0.1%
10 172
 
< 0.1%
Other values (7) 326
 
< 0.1%
(Missing) 2345172
98.5%
ValueCountFrequency (%)
1 421
< 0.1%
2 618
< 0.1%
3 384
< 0.1%
4 232
 
< 0.1%
5 272
< 0.1%
ValueCountFrequency (%)
99 87
 
< 0.1%
88 30725
1.3%
77 587
 
< 0.1%
14 856
 
< 0.1%
13 9
 
< 0.1%

MISTMNT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2213836
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean1.924343154
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.649291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7300095034
Coefficient of variation (CV)0.3793551591
Kurtosis66.63511038
Mean1.924343154
Median Absolute Deviation (MAD)0
Skewness7.020587518
Sum319847
Variance0.532913875
MonotonicityNot monotonic
2025-05-10T13:44:51.679701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 142204
 
6.0%
1 22514
 
0.9%
9 1237
 
0.1%
7 256
 
< 0.1%
(Missing) 2213836
93.0%
ValueCountFrequency (%)
1 22514
 
0.9%
2 142204
6.0%
7 256
 
< 0.1%
9 1237
 
0.1%
ValueCountFrequency (%)
9 1237
 
0.1%
7 256
 
< 0.1%
2 142204
6.0%
1 22514
 
0.9%

ADANXEV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2345202
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.876022385
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.709231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.589153499
Coefficient of variation (CV)0.3140439601
Kurtosis66.30129907
Mean1.876022385
Median Absolute Deviation (MAD)0
Skewness5.878507325
Sum65370
Variance0.3471018454
MonotonicityNot monotonic
2025-05-10T13:44:51.740789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 29103
 
1.2%
1 5530
 
0.2%
7 137
 
< 0.1%
9 75
 
< 0.1%
(Missing) 2345202
98.5%
ValueCountFrequency (%)
1 5530
 
0.2%
2 29103
1.2%
7 137
 
< 0.1%
9 75
 
< 0.1%
ValueCountFrequency (%)
9 75
 
< 0.1%
7 137
 
< 0.1%
2 29103
1.2%
1 5530
 
0.2%

QSTVER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.44645295
Minimum10
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.772332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median11
Q320
95-th percentile22
Maximum23
Range13
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.477384408
Coefficient of variation (CV)0.3329788477
Kurtosis-0.922797549
Mean13.44645295
Median Absolute Deviation (MAD)1
Skewness0.94453124
Sum32003190
Variance20.04697114
MonotonicityNot monotonic
2025-05-10T13:44:51.805442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 940014
39.5%
20 424484
17.8%
11 367313
 
15.4%
12 333663
 
14.0%
21 108965
 
4.6%
22 103048
 
4.3%
13 84523
 
3.6%
23 18037
 
0.8%
ValueCountFrequency (%)
10 940014
39.5%
11 367313
 
15.4%
12 333663
 
14.0%
13 84523
 
3.6%
20 424484
17.8%
ValueCountFrequency (%)
23 18037
 
0.8%
22 103048
 
4.3%
21 108965
 
4.6%
20 424484
17.8%
13 84523
 
3.6%

QSTLANG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing10391
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.035097499
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:51.834051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1853743294
Coefficient of variation (CV)0.1790887617
Kurtosis25.92253038
Mean1.035097499
Median Absolute Deviation (MAD)0
Skewness5.177377215
Sum2452825
Variance0.034363642
MonotonicityNot monotonic
2025-05-10T13:44:51.861742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2287067
96.1%
2 82013
 
3.4%
3 575
 
< 0.1%
7 1
 
< 0.1%
(Missing) 10391
 
0.4%
ValueCountFrequency (%)
1 2287067
96.1%
2 82013
 
3.4%
3 575
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
3 575
 
< 0.1%
2 82013
 
3.4%
1 2287067
96.1%

EXACTOT1
Text

Missing 

Distinct5642
Distinct (%)1.3%
Missing1938591
Missing (%)81.5%
Memory size18.2 MiB
2025-05-10T13:44:51.926212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.353845004
Min length3

Characters and Unicode

Total characters1480575
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4624 ?
Unique (%)1.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 428388
94.8%
b'treadmill 852
 
0.2%
b'cardio 826
 
0.2%
b'physical 686
 
0.2%
therapy 663
 
0.1%
b'water 571
 
0.1%
training 488
 
0.1%
b'stretching 475
 
0.1%
b'gym 402
 
0.1%
exercises 360
 
0.1%
Other values (3500) 18076
 
4.0%
2025-05-10T13:44:52.038271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1480575
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882906
59.6%
b 443412
29.9%
10367
 
0.7%
i 10323
 
0.7%
e 9127
 
0.6%
r 8616
 
0.6%
a 8519
 
0.6%
t 6883
 
0.5%
s 6841
 
0.5%
n 5982
 
0.4%
Other values (73) 87599
 
5.9%

EXACTOT2
Text

Missing 

Distinct7623
Distinct (%)1.7%
Missing1938591
Missing (%)81.5%
Memory size18.2 MiB
2025-05-10T13:44:52.112432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.455861966
Min length3

Characters and Unicode

Total characters1525611
Distinct characters85
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6247 ?
Unique (%)1.4%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 424848
93.3%
b'stretching 931
 
0.2%
ups 555
 
0.1%
b'treadmill 521
 
0.1%
training 496
 
0.1%
b'physical 445
 
0.1%
therapy 427
 
0.1%
b'cardio 417
 
0.1%
exercises 364
 
0.1%
b'sex 363
 
0.1%
Other values (4598) 26074
 
5.7%
2025-05-10T13:44:52.224322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1525611
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 882903
57.9%
b 443742
29.1%
14030
 
0.9%
i 12825
 
0.8%
e 11519
 
0.8%
r 9347
 
0.6%
n 9323
 
0.6%
s 9279
 
0.6%
a 9089
 
0.6%
t 8679
 
0.6%
Other values (75) 114875
 
7.5%

MSCODE
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing680253
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.815097006
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.264761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.686345719
Coefficient of variation (CV)0.5990364508
Kurtosis-1.592380658
Mean2.815097006
Median Absolute Deviation (MAD)1
Skewness0.2935879742
Sum4785085
Variance2.843761884
MonotonicityNot monotonic
2025-05-10T13:44:52.296969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 571324
24.0%
1 568763
23.9%
2 325496
13.7%
3 228134
 
9.6%
4 6077
 
0.3%
(Missing) 680253
28.6%
ValueCountFrequency (%)
1 568763
23.9%
2 325496
13.7%
3 228134
 
9.6%
4 6077
 
0.3%
5 571324
24.0%
ValueCountFrequency (%)
5 571324
24.0%
4 6077
 
0.3%
3 228134
 
9.6%
2 325496
13.7%
1 568763
23.9%

_STSTR
Real number (ℝ)

Distinct2781
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187465.7024
Minimum1011
Maximum722019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.334282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1011
5-th percentile9051
Q132022
median121011
Q3322019
95-th percentile512049
Maximum722019
Range721008
Interquartile range (IQR)289997

Descriptive statistics

Standard deviation179587.0457
Coefficient of variation (CV)0.95797281
Kurtosis-0.6053793417
Mean187465.7024
Median Absolute Deviation (MAD)100969
Skewness0.7701661508
Sum4.461771826 × 1011
Variance3.225150698 × 1010
MonotonicityNot monotonic
2025-05-10T13:44:52.376226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
492019 20079
 
0.8%
41011 16316
 
0.7%
62029 15812
 
0.7%
6021 15362
 
0.6%
241011 14963
 
0.6%
271051 14337
 
0.6%
25071 13885
 
0.6%
561011 12895
 
0.5%
121011 11069
 
0.5%
251071 10666
 
0.4%
Other values (2771) 2234663
93.9%
ValueCountFrequency (%)
1011 823
< 0.1%
1012 98
 
< 0.1%
1021 771
< 0.1%
1022 88
 
< 0.1%
1031 1094
< 0.1%
ValueCountFrequency (%)
722019 7776
0.3%
721081 836
 
< 0.1%
721071 1373
 
0.1%
721061 1432
 
0.1%
721051 326
 
< 0.1%

_STRWT
Real number (ℝ)

Distinct6274
Distinct (%)0.3%
Missing73
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean93.73868934
Minimum0.3147515606
Maximum4830.894309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.420048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3147515606
5-th percentile4.166666667
Q115.53283022
median39.29075809
Q386.5793298
95-th percentile381.7359137
Maximum4830.894309
Range4830.579557
Interquartile range (IQR)71.04649958

Descriptive statistics

Standard deviation171.4369964
Coefficient of variation (CV)1.828881945
Kurtosis68.38959969
Mean93.73868934
Median Absolute Deviation (MAD)28.09866413
Skewness5.720411602
Sum223095643.4
Variance29390.64374
MonotonicityNot monotonic
2025-05-10T13:44:52.462284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.45613287 8596
 
0.4%
67.38942221 8322
 
0.3%
382.9339189 7627
 
0.3%
35.72836499 7251
 
0.3%
78.21670413 7227
 
0.3%
35.58347882 7182
 
0.3%
82.77541456 6766
 
0.3%
39.29075809 6703
 
0.3%
76.26257503 6218
 
0.3%
13.08179517 5812
 
0.2%
Other values (6264) 2308270
97.0%
ValueCountFrequency (%)
0.3147515606 307
< 0.1%
0.3840522785 465
< 0.1%
0.4723076354 39
 
< 0.1%
0.4764897299 361
< 0.1%
0.5761278647 31
 
< 0.1%
ValueCountFrequency (%)
4830.894309 173
 
< 0.1%
2034.635166 1383
0.1%
1866.938402 379
 
< 0.1%
1603.286561 616
< 0.1%
1534.720286 700
< 0.1%

_RAWRAKE
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.568905712
Minimum0.3333333333
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.494720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3333333333
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4.666666667
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.749203647
Coefficient of variation (CV)0.4775326147
Kurtosis2.777658597
Mean1.568905712
Median Absolute Deviation (MAD)0
Skewness1.478830412
Sum3734069.333
Variance0.5613061047
MonotonicityNot monotonic
2025-05-10T13:44:52.525308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1289934
54.2%
2 861689
36.2%
3 149841
 
6.3%
4 46909
 
2.0%
5 13600
 
0.6%
0.5 8209
 
0.3%
1.5 4806
 
0.2%
0.6666666667 3109
 
0.1%
0.3333333333 1077
 
< 0.1%
2.5 563
 
< 0.1%
Other values (2) 310
 
< 0.1%
ValueCountFrequency (%)
0.3333333333 1077
 
< 0.1%
0.5 8209
 
0.3%
0.6666666667 3109
 
0.1%
1 1289934
54.2%
1.333333333 213
 
< 0.1%
ValueCountFrequency (%)
5 13600
 
0.6%
4 46909
 
2.0%
3 149841
 
6.3%
2.5 563
 
< 0.1%
2 861689
36.2%

_WT2RAKE
Real number (ℝ)

Distinct32805
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.7649546
Minimum0.05505740412
Maximum4830.894309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.562329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.05505740412
5-th percentile5.939434484
Q123.30497565
median57.21200369
Q3130.6360757
95-th percentile432.7436731
Maximum4830.894309
Range4830.839252
Interquartile range (IQR)107.3311

Descriptive statistics

Standard deviation179.3733598
Coefficient of variation (CV)1.53619175
Kurtosis55.74036739
Mean116.7649546
Median Absolute Deviation (MAD)40.30594654
Skewness5.013468969
Sum277906079.8
Variance32174.80222
MonotonicityNot monotonic
2025-05-10T13:44:52.604434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.38942221 8322
 
0.3%
382.9339189 7627
 
0.3%
35.72836499 7251
 
0.3%
78.21670413 7227
 
0.3%
125.917713 5086
 
0.2%
45.66437517 5034
 
0.2%
86.36783978 4530
 
0.2%
158.9122657 4243
 
0.2%
668.8070668 4209
 
0.2%
61.62551881 4095
 
0.2%
Other values (32795) 2322423
97.6%
ValueCountFrequency (%)
0.05505740412 5
 
< 0.1%
0.07340987216 1
 
< 0.1%
0.08255959067 3
 
< 0.1%
0.1101148082 489
< 0.1%
0.1573757803 2
 
< 0.1%
ValueCountFrequency (%)
4830.894309 173
< 0.1%
3191.946865 1
 
< 0.1%
2716.799507 1
 
< 0.1%
2553.557492 1
 
< 0.1%
2483.240678 1
 
< 0.1%

_CHISPNC
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1360239
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean7.547101023
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.635860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.885024205
Coefficient of variation (CV)0.3822691914
Kurtosis0.2476721605
Mean7.547101023
Median Absolute Deviation (MAD)0
Skewness-1.491098346
Sum7696594
Variance8.323364666
MonotonicityNot monotonic
2025-05-10T13:44:52.665641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
9 812947
34.2%
2 173210
 
7.3%
1 33651
 
1.4%
(Missing) 1360239
57.2%
ValueCountFrequency (%)
1 33651
 
1.4%
2 173210
 
7.3%
9 812947
34.2%
ValueCountFrequency (%)
9 812947
34.2%
2 173210
 
7.3%
1 33651
 
1.4%

_CRACE1
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing2162390
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean6.957892464
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.696918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.73178095
Coefficient of variation (CV)3.123328085
Kurtosis12.88444003
Mean6.957892464
Median Absolute Deviation (MAD)0
Skewness3.831495849
Sum1514434
Variance472.2703031
MonotonicityNot monotonic
2025-05-10T13:44:52.727763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 157105
 
6.6%
2 21648
 
0.9%
99 9843
 
0.4%
7 6535
 
0.3%
6 6455
 
0.3%
4 6258
 
0.3%
3 5939
 
0.2%
77 2678
 
0.1%
5 1174
 
< 0.1%
8 22
 
< 0.1%
(Missing) 2162390
90.9%
ValueCountFrequency (%)
1 157105
6.6%
2 21648
 
0.9%
3 5939
 
0.2%
4 6258
 
0.3%
5 1174
 
< 0.1%
ValueCountFrequency (%)
99 9843
0.4%
77 2678
 
0.1%
8 22
 
< 0.1%
7 6535
0.3%
6 6455
0.3%

_CPRACE
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2239084
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean6.706696083
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.757308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.26653724
Coefficient of variation (CV)3.170940948
Kurtosis13.509266
Mean6.706696083
Median Absolute Deviation (MAD)0
Skewness3.909195097
Sum945396
Variance452.265606
MonotonicityNot monotonic
2025-05-10T13:44:52.788033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 103079
 
4.3%
2 14029
 
0.6%
99 5889
 
0.2%
4 4177
 
0.2%
6 3969
 
0.2%
3 3892
 
0.2%
7 3065
 
0.1%
77 1990
 
0.1%
5 873
 
< 0.1%
(Missing) 2239084
94.1%
ValueCountFrequency (%)
1 103079
4.3%
2 14029
 
0.6%
3 3892
 
0.2%
4 4177
 
0.2%
5 873
 
< 0.1%
ValueCountFrequency (%)
99 5889
0.2%
77 1990
 
0.1%
7 3065
0.1%
6 3969
0.2%
5 873
 
< 0.1%

_CLLCPWT
Real number (ℝ)

Missing 

Distinct118981
Distinct (%)36.8%
Missing2056408
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean724.3336804
Minimum3.601983444
Maximum56193.89383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.823352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.601983444
5-th percentile39.91787878
Q1141.7572434
median326.8027677
Q3776.7283398
95-th percentile2699.248348
Maximum56193.89383
Range56190.29185
Interquartile range (IQR)634.9710964

Descriptive statistics

Standard deviation1287.012545
Coefficient of variation (CV)1.776822726
Kurtosis116.6715274
Mean724.3336804
Median Absolute Deviation (MAD)230.5859927
Skewness7.28296104
Sum234422628
Variance1656401.291
MonotonicityNot monotonic
2025-05-10T13:44:52.861526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431.3818768 227
 
< 0.1%
147.0574017 220
 
< 0.1%
25.15141378 209
 
< 0.1%
465.3613412 197
 
< 0.1%
98.03826779 195
 
< 0.1%
49.0191339 190
 
< 0.1%
156.8068817 188
 
< 0.1%
930.7226824 182
 
< 0.1%
318.1575919 179
 
< 0.1%
52.26896057 171
 
< 0.1%
Other values (118971) 321681
 
13.5%
(Missing) 2056408
86.4%
ValueCountFrequency (%)
3.601983444 1
< 0.1%
3.655301504 1
< 0.1%
3.683422136 1
< 0.1%
3.773448466 2
< 0.1%
4.074797177 1
< 0.1%
ValueCountFrequency (%)
56193.89383 1
< 0.1%
55281.14882 1
< 0.1%
48694.3204 1
< 0.1%
47061.12279 1
< 0.1%
45172.95621 1
< 0.1%

_DUALUSE
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing506467
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean6.122129826
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.892836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.750556865
Coefficient of variation (CV)0.6126228897
Kurtosis-1.681600816
Mean6.122129826
Median Absolute Deviation (MAD)0
Skewness-0.5464321753
Sum11470300
Variance14.0666768
MonotonicityNot monotonic
2025-05-10T13:44:52.924186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9 1176820
49.4%
1 520526
21.9%
2 170400
 
7.2%
3 5742
 
0.2%
4 92
 
< 0.1%
(Missing) 506467
21.3%
ValueCountFrequency (%)
1 520526
21.9%
2 170400
 
7.2%
3 5742
 
0.2%
4 92
 
< 0.1%
9 1176820
49.4%
ValueCountFrequency (%)
9 1176820
49.4%
4 92
 
< 0.1%
3 5742
 
0.2%
2 170400
 
7.2%
1 520526
21.9%

_DUALCOR
Real number (ℝ)

Missing 

Distinct424
Distinct (%)0.1%
Missing1689121
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean0.6183946887
Minimum0.03699322108
Maximum0.9630067789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:52.963247image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.03699322108
5-th percentile0.2506397729
Q10.495674823
median0.6781767381
Q30.7528743918
95-th percentile0.8721529086
Maximum0.9630067789
Range0.9260135578
Interquartile range (IQR)0.2571995688

Descriptive statistics

Standard deviation0.1934607831
Coefficient of variation (CV)0.3128435392
Kurtosis-0.4296140631
Mean0.6183946887
Median Absolute Deviation (MAD)0.1013773823
Skewness-0.7073113904
Sum427264.9687
Variance0.03742707458
MonotonicityNot monotonic
2025-05-10T13:44:53.004457image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7223236099 10190
 
0.4%
0.6697672819 9527
 
0.4%
0.920562479 9374
 
0.4%
0.9077683362 9245
 
0.4%
0.7014873602 9076
 
0.4%
0.8721529086 9047
 
0.4%
0.7660521097 8428
 
0.4%
0.722496186 7923
 
0.3%
0.6558690957 7450
 
0.3%
0.7326429102 7347
 
0.3%
Other values (414) 603319
 
25.3%
(Missing) 1689121
71.0%
ValueCountFrequency (%)
0.03699322108 40
 
< 0.1%
0.07870582939 295
< 0.1%
0.07943752101 675
< 0.1%
0.08550402256 207
 
< 0.1%
0.09223166383 600
< 0.1%
ValueCountFrequency (%)
0.9630067789 1317
 
0.1%
0.9212941706 4106
0.2%
0.920562479 9374
0.4%
0.9144959774 2771
 
0.1%
0.9077683362 9245
0.4%

_LLCPWT
Real number (ℝ)

Distinct1374380
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.5037222
Minimum0.7635677738
Maximum36700.68429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.045384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.7635677738
5-th percentile22.41566594
Q181.8912137
median212.6466351
Q3546.7651499
95-th percentile1991.829556
Maximum36700.68429
Range36699.92072
Interquartile range (IQR)464.8739362

Descriptive statistics

Standard deviation943.7527836
Coefficient of variation (CV)1.830739028
Kurtosis74.18412693
Mean515.5037222
Median Absolute Deviation (MAD)161.2000452
Skewness6.3015348
Sum1226923088
Variance890669.3166
MonotonicityNot monotonic
2025-05-10T13:44:53.085945image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.58671688 549
 
< 0.1%
26.38585184 388
 
< 0.1%
20.09146622 300
 
< 0.1%
326.1516714 214
 
< 0.1%
12.37788713 206
 
< 0.1%
28.3246037 196
 
< 0.1%
195.3120256 192
 
< 0.1%
238.8644474 181
 
< 0.1%
403.1265171 178
 
< 0.1%
230.376878 173
 
< 0.1%
Other values (1374370) 2377470
99.9%
ValueCountFrequency (%)
0.7635677738 1
< 0.1%
0.8043249035 1
< 0.1%
0.8618153268 1
< 0.1%
0.8639742289 1
< 0.1%
0.8653927542 1
< 0.1%
ValueCountFrequency (%)
36700.68429 1
< 0.1%
35806.76161 1
< 0.1%
34798.62753 1
< 0.1%
33134.93962 1
< 0.1%
32864.17599 1
< 0.1%

_RFHLTH
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.219933892
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.119753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6094407338
Coefficient of variation (CV)0.4995686552
Kurtosis92.3113893
Mean1.219933892
Median Absolute Deviation (MAD)0
Skewness7.788261149
Sum2903500
Variance0.3714180081
MonotonicityNot monotonic
2025-05-10T13:44:53.149005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1916052
80.5%
2 455501
 
19.1%
9 8494
 
0.4%
ValueCountFrequency (%)
1 1916052
80.5%
2 455501
 
19.1%
9 8494
 
0.4%
ValueCountFrequency (%)
9 8494
 
0.4%
2 455501
 
19.1%
1 1916052
80.5%

_HCVU651
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.839691401
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.178138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.74082563
Coefficient of variation (CV)0.9742516363
Kurtosis-1.565028606
Mean3.839691401
Median Absolute Deviation (MAD)0
Skewness0.6435410244
Sum9138646
Variance13.9937764
MonotonicityNot monotonic
2025-05-10T13:44:53.209953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1338894
56.3%
9 816778
34.3%
2 224375
 
9.4%
ValueCountFrequency (%)
1 1338894
56.3%
2 224375
 
9.4%
9 816778
34.3%
ValueCountFrequency (%)
9 816778
34.3%
2 224375
 
9.4%
1 1338894
56.3%

_RFHYPE5
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean1.424844551
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.240000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6369130364
Coefficient of variation (CV)0.4470052794
Kurtosis55.02332525
Mean1.424844551
Median Absolute Deviation (MAD)0
Skewness4.965369552
Sum2051343
Variance0.4056582159
MonotonicityNot monotonic
2025-05-10T13:44:53.271848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 857078
36.0%
2 578471
24.3%
9 4147
 
0.2%
(Missing) 940351
39.5%
ValueCountFrequency (%)
1 857078
36.0%
2 578471
24.3%
9 4147
 
0.2%
ValueCountFrequency (%)
9 4147
 
0.2%
2 578471
24.3%
1 857078
36.0%

_CHOLCHK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean1.517267534
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.302314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.494563299
Coefficient of variation (CV)0.9850361027
Kurtosis16.74332992
Mean1.517267534
Median Absolute Deviation (MAD)0
Skewness4.000367067
Sum2184404
Variance2.233719454
MonotonicityNot monotonic
2025-05-10T13:44:53.333943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1179249
49.5%
3 169618
 
7.1%
2 45880
 
1.9%
9 44949
 
1.9%
(Missing) 940351
39.5%
ValueCountFrequency (%)
1 1179249
49.5%
2 45880
 
1.9%
3 169618
 
7.1%
9 44949
 
1.9%
ValueCountFrequency (%)
9 44949
 
1.9%
3 169618
 
7.1%
2 45880
 
1.9%
1 1179249
49.5%

_RFCHOL
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1138069
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean1.499992753
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.364020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8686487251
Coefficient of variation (CV)0.5791019477
Kurtosis47.18004958
Mean1.499992753
Median Absolute Deviation (MAD)0
Skewness5.773453044
Sum1862958
Variance0.7545506076
MonotonicityNot monotonic
2025-05-10T13:44:53.395271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 699328
29.4%
2 531460
22.3%
9 11190
 
0.5%
(Missing) 1138069
47.8%
ValueCountFrequency (%)
1 699328
29.4%
2 531460
22.3%
9 11190
 
0.5%
ValueCountFrequency (%)
9 11190
 
0.5%
2 531460
22.3%
1 699328
29.4%

_MICHD
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing1942533
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean1.911698826
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.427196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2837327281
Coefficient of variation (CV)0.148419157
Kurtosis6.421818246
Mean1.911698826
Median Absolute Deviation (MAD)0
Skewness-2.902031855
Sum836395
Variance0.08050426097
MonotonicityNot monotonic
2025-05-10T13:44:53.455909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 398881
 
16.8%
1 38633
 
1.6%
(Missing) 1942533
81.6%
ValueCountFrequency (%)
1 38633
 
1.6%
2 398881
16.8%
ValueCountFrequency (%)
2 398881
16.8%
1 38633
 
1.6%

_LTASTH1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.15736706
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.482564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5576098004
Coefficient of variation (CV)0.4817916627
Kurtosis122.3034724
Mean1.15736706
Median Absolute Deviation (MAD)0
Skewness9.295444826
Sum2754588
Variance0.3109286895
MonotonicityNot monotonic
2025-05-10T13:44:53.512629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2058559
86.5%
2 313909
 
13.2%
9 7579
 
0.3%
ValueCountFrequency (%)
1 2058559
86.5%
2 313909
 
13.2%
9 7579
 
0.3%
ValueCountFrequency (%)
9 7579
 
0.3%
2 313909
 
13.2%
1 2058559
86.5%

_CASTHM1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146272322
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.541741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7145866162
Coefficient of variation (CV)0.6234003934
Kurtosis97.69771161
Mean1.146272322
Median Absolute Deviation (MAD)0
Skewness9.292842117
Sum2728182
Variance0.510634032
MonotonicityNot monotonic
2025-05-10T13:44:53.571739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2146677
90.2%
2 216975
 
9.1%
9 16395
 
0.7%
ValueCountFrequency (%)
1 2146677
90.2%
2 216975
 
9.1%
9 16395
 
0.7%
ValueCountFrequency (%)
9 16395
 
0.7%
2 216975
 
9.1%
1 2146677
90.2%

_ASTHMS1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821979146
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.600648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7861143921
Coefficient of variation (CV)0.2785684626
Kurtosis25.9544907
Mean2.821979146
Median Absolute Deviation (MAD)0
Skewness2.176337115
Sum6716443
Variance0.6179758375
MonotonicityNot monotonic
2025-05-10T13:44:53.630114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 2058559
86.5%
1 216975
 
9.1%
2 88118
 
3.7%
9 16395
 
0.7%
ValueCountFrequency (%)
1 216975
 
9.1%
2 88118
 
3.7%
3 2058559
86.5%
9 16395
 
0.7%
ValueCountFrequency (%)
9 16395
 
0.7%
3 2058559
86.5%
2 88118
 
3.7%
1 216975
 
9.1%

_DRDXAR1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing15114
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.659067297
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.662003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4740228792
Coefficient of variation (CV)0.2857164866
Kurtosis-1.549574824
Mean1.659067297
Median Absolute Deviation (MAD)0
Skewness-0.6711382026
Sum3923583
Variance0.22469769
MonotonicityNot monotonic
2025-05-10T13:44:53.691700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%
(Missing) 15114
 
0.6%
ValueCountFrequency (%)
1 806283
33.9%
2 1558650
65.5%
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%

_PRACE1
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing982326
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean3.004611793
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.721829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.17611268
Coefficient of variation (CV)4.052474501
Kurtosis50.9326872
Mean3.004611793
Median Absolute Deviation (MAD)0
Skewness7.206348413
Sum4199609
Variance148.2577199
MonotonicityNot monotonic
2025-05-10T13:44:53.753821image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 1152989
48.4%
2 116579
 
4.9%
4 31926
 
1.3%
6 29062
 
1.2%
3 27838
 
1.2%
99 15973
 
0.7%
77 10024
 
0.4%
5 9406
 
0.4%
7 3725
 
0.2%
8 199
 
< 0.1%
(Missing) 982326
41.3%
ValueCountFrequency (%)
1 1152989
48.4%
2 116579
 
4.9%
3 27838
 
1.2%
4 31926
 
1.3%
5 9406
 
0.4%
ValueCountFrequency (%)
99 15973
0.7%
77 10024
 
0.4%
8 199
 
< 0.1%
7 3725
 
0.2%
6 29062
1.2%

_MRACE1
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing982355
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean3.087187306
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.784261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.18062593
Coefficient of variation (CV)3.945541595
Kurtosis50.62925477
Mean3.087187306
Median Absolute Deviation (MAD)0
Skewness7.173964341
Sum4314937
Variance148.367648
MonotonicityNot monotonic
2025-05-10T13:44:53.816041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1139984
47.9%
2 113633
 
4.8%
4 29593
 
1.2%
7 29121
 
1.2%
6 28289
 
1.2%
3 25353
 
1.1%
99 15972
 
0.7%
77 9996
 
0.4%
5 5751
 
0.2%
(Missing) 982355
41.3%
ValueCountFrequency (%)
1 1139984
47.9%
2 113633
 
4.8%
3 25353
 
1.1%
4 29593
 
1.2%
5 5751
 
0.2%
ValueCountFrequency (%)
99 15972
0.7%
77 9996
 
0.4%
7 29121
1.2%
6 28289
1.2%
5 5751
 
0.2%

_HISPANC
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing982154
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean1.992455073
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:53.844940image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7544094935
Coefficient of variation (CV)0.3786331263
Kurtosis71.89686547
Mean1.992455073
Median Absolute Deviation (MAD)0
Skewness7.861043776
Sum2785239
Variance0.5691336839
MonotonicityNot monotonic
2025-05-10T13:44:54.049397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1275186
53.6%
1 108687
 
4.6%
9 14020
 
0.6%
(Missing) 982154
41.3%
ValueCountFrequency (%)
1 108687
 
4.6%
2 1275186
53.6%
9 14020
 
0.6%
ValueCountFrequency (%)
9 14020
 
0.6%
2 1275186
53.6%
1 108687
 
4.6%

_RACE
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing982273
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean1.999542129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.080263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.251603869
Coefficient of variation (CV)1.126059729
Kurtosis3.068810664
Mean1.999542129
Median Absolute Deviation (MAD)0
Skewness2.171651713
Sum2794908
Variance5.069719981
MonotonicityNot monotonic
2025-05-10T13:44:54.111886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1069325
44.9%
8 108687
 
4.6%
2 108559
 
4.6%
4 28583
 
1.2%
7 26110
 
1.1%
9 23795
 
1.0%
3 21305
 
0.9%
6 6747
 
0.3%
5 4663
 
0.2%
(Missing) 982273
41.3%
ValueCountFrequency (%)
1 1069325
44.9%
2 108559
 
4.6%
3 21305
 
0.9%
4 28583
 
1.2%
5 4663
 
0.2%
ValueCountFrequency (%)
9 23795
 
1.0%
8 108687
4.6%
7 26110
 
1.1%
6 6747
 
0.3%
5 4663
 
0.2%

_RACEG21
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing982273
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean1.354144518
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.141260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.087217916
Coefficient of variation (CV)0.8028817463
Kurtosis38.67365291
Mean1.354144518
Median Absolute Deviation (MAD)0
Skewness5.940019653
Sum1892788
Variance1.182042796
MonotonicityNot monotonic
2025-05-10T13:44:54.171676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1069325
44.9%
2 304654
 
12.8%
9 23795
 
1.0%
(Missing) 982273
41.3%
ValueCountFrequency (%)
1 1069325
44.9%
2 304654
 
12.8%
9 23795
 
1.0%
ValueCountFrequency (%)
9 23795
 
1.0%
2 304654
 
12.8%
1 1069325
44.9%

_RACEGR3
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing982273
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean1.66862955
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.202544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.51912942
Coefficient of variation (CV)0.9104054404
Kurtosis8.191123433
Mean1.66862955
Median Absolute Deviation (MAD)0
Skewness2.766104322
Sum2332367
Variance2.307754194
MonotonicityNot monotonic
2025-05-10T13:44:54.233348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1069325
44.9%
5 108687
 
4.6%
2 108559
 
4.6%
3 61298
 
2.6%
4 26110
 
1.1%
9 23795
 
1.0%
(Missing) 982273
41.3%
ValueCountFrequency (%)
1 1069325
44.9%
2 108559
 
4.6%
3 61298
 
2.6%
4 26110
 
1.1%
5 108687
 
4.6%
ValueCountFrequency (%)
9 23795
 
1.0%
5 108687
4.6%
4 26110
 
1.1%
3 61298
2.6%
2 108559
4.6%

_RACE_G1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1006068
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean1.447071607
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.264694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9492767069
Coefficient of variation (CV)0.655998433
Kurtosis3.676752609
Mean1.447071607
Median Absolute Deviation (MAD)0
Skewness2.144745052
Sum1988246
Variance0.9011262662
MonotonicityNot monotonic
2025-05-10T13:44:54.295810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1069325
44.9%
3 108687
 
4.6%
2 108559
 
4.6%
4 61298
 
2.6%
5 26110
 
1.1%
(Missing) 1006068
42.3%
ValueCountFrequency (%)
1 1069325
44.9%
2 108559
 
4.6%
3 108687
 
4.6%
4 61298
 
2.6%
5 26110
 
1.1%
ValueCountFrequency (%)
5 26110
 
1.1%
4 61298
 
2.6%
3 108687
 
4.6%
2 108559
 
4.6%
1 1069325
44.9%

_AGEG5YR
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.726751615
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.327834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile13
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.46582402
Coefficient of variation (CV)0.4485486518
Kurtosis-0.8506956583
Mean7.726751615
Median Absolute Deviation (MAD)3
Skewness-0.2528563438
Sum18390032
Variance12.01193614
MonotonicityNot monotonic
2025-05-10T13:44:54.363100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9 265094
11.1%
8 253651
10.7%
10 244839
10.3%
7 227880
9.6%
13 197714
8.3%
11 194934
8.2%
6 176607
7.4%
5 153209
6.4%
12 147893
 
6.2%
4 135622
 
5.7%
Other values (4) 382604
16.1%
ValueCountFrequency (%)
1 123537
5.2%
2 106025
4.5%
3 127654
5.4%
4 135622
5.7%
5 153209
6.4%
ValueCountFrequency (%)
14 25388
 
1.1%
13 197714
8.3%
12 147893
6.2%
11 194934
8.2%
10 244839
10.3%

_AGE65YR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.351319113
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.394126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4992275342
Coefficient of variation (CV)0.3694371889
Kurtosis-0.6288416942
Mean1.351319113
Median Absolute Deviation (MAD)0
Skewness0.8783369257
Sum3216203
Variance0.2492281309
MonotonicityNot monotonic
2025-05-10T13:44:54.427215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1569279
65.9%
2 785380
33.0%
3 25388
 
1.1%
ValueCountFrequency (%)
1 1569279
65.9%
2 785380
33.0%
3 25388
 
1.1%
ValueCountFrequency (%)
3 25388
 
1.1%
2 785380
33.0%
1 1569279
65.9%

_AGE80
Real number (ℝ)

Missing 

Distinct63
Distinct (%)< 0.1%
Missing982154
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean55.21634345
Minimum18
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.466310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q143
median57
Q368
95-th percentile80
Maximum80
Range62
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.98029416
Coefficient of variation (CV)0.3075229742
Kurtosis-0.8039575809
Mean55.21634345
Median Absolute Deviation (MAD)13
Skewness-0.379694354
Sum77186540
Variance288.3303899
MonotonicityNot monotonic
2025-05-10T13:44:54.507213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 116201
 
4.9%
62 34714
 
1.5%
60 34544
 
1.5%
65 34071
 
1.4%
66 31952
 
1.3%
63 31923
 
1.3%
64 31734
 
1.3%
67 31423
 
1.3%
59 30862
 
1.3%
58 30575
 
1.3%
Other values (53) 989894
41.6%
(Missing) 982154
41.3%
ValueCountFrequency (%)
18 10462
0.4%
19 9826
0.4%
20 9994
0.4%
21 11039
0.5%
22 10931
0.5%
ValueCountFrequency (%)
80 116201
4.9%
79 14816
 
0.6%
78 16645
 
0.7%
77 17517
 
0.7%
76 17955
 
0.8%

_AGE_G
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.411198602
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.541736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.536396917
Coefficient of variation (CV)0.3482946599
Kurtosis-0.671587814
Mean4.411198602
Median Absolute Deviation (MAD)1
Skewness-0.6680749567
Sum10498860
Variance2.360515486
MonotonicityNot monotonic
2025-05-10T13:44:54.570929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 786546
33.0%
5 535435
22.5%
4 409206
17.2%
3 291415
 
12.2%
2 233895
 
9.8%
1 123550
 
5.2%
ValueCountFrequency (%)
1 123550
 
5.2%
2 233895
9.8%
3 291415
12.2%
4 409206
17.2%
5 535435
22.5%
ValueCountFrequency (%)
6 786546
33.0%
5 535435
22.5%
4 409206
17.2%
3 291415
 
12.2%
2 233895
 
9.8%

HTIN4
Real number (ℝ)

Missing 

Distinct59
Distinct (%)< 0.1%
Missing57792
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean66.64169912
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.607345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60
Q164
median66
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.110266807
Coefficient of variation (CV)0.06167710099
Kurtosis-0.2229989935
Mean66.64169912
Median Absolute Deviation (MAD)3
Skewness0.1855844592
Sum154759019
Variance16.89429323
MonotonicityNot monotonic
2025-05-10T13:44:54.647324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 221742
9.3%
66 217349
9.1%
65 194455
 
8.2%
67 189275
 
8.0%
63 178927
 
7.5%
62 173275
 
7.3%
68 171245
 
7.2%
70 158712
 
6.7%
69 148567
 
6.2%
72 140796
 
5.9%
Other values (49) 527912
22.2%
ValueCountFrequency (%)
36 25
< 0.1%
37 3
 
< 0.1%
38 8
 
< 0.1%
39 6
 
< 0.1%
40 13
< 0.1%
ValueCountFrequency (%)
95 1
 
< 0.1%
93 3
 
< 0.1%
92 8
< 0.1%
91 5
< 0.1%
90 11
< 0.1%

HTM4
Real number (ℝ)

Missing 

Distinct125
Distinct (%)< 0.1%
Missing49314
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean169.2525682
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.686256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile152
Q1163
median168
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.50021989
Coefficient of variation (CV)0.06203876259
Kurtosis-0.06987341181
Mean169.2525682
Median Absolute Deviation (MAD)8
Skewness0.1409873684
Sum394482546
Variance110.2546178
MonotonicityNot monotonic
2025-05-10T13:44:54.726629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163 221958
9.3%
168 217619
9.1%
165 195105
 
8.2%
170 189970
 
8.0%
160 179729
 
7.6%
157 173413
 
7.3%
173 171390
 
7.2%
178 158876
 
6.7%
175 149073
 
6.3%
183 140838
 
5.9%
Other values (115) 532762
22.4%
ValueCountFrequency (%)
91 25
< 0.1%
94 3
 
< 0.1%
97 8
 
< 0.1%
99 7
 
< 0.1%
100 7
 
< 0.1%
ValueCountFrequency (%)
241 1
 
< 0.1%
236 3
 
< 0.1%
234 8
< 0.1%
231 5
< 0.1%
229 11
< 0.1%

WTKG3
Real number (ℝ)

Missing 

Distinct666
Distinct (%)< 0.1%
Missing117954
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8006.899868
Minimum2268
Maximum29030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.768095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5307
Q16577
median7711
Q39072
95-th percentile11657
Maximum29030
Range26762
Interquartile range (IQR)2495

Descriptive statistics

Standard deviation2034.398454
Coefficient of variation (CV)0.2540806664
Kurtosis3.827539207
Mean8006.899868
Median Absolute Deviation (MAD)1361
Skewness1.201966765
Sum1.811235214 × 1010
Variance4138777.071
MonotonicityNot monotonic
2025-05-10T13:44:54.809784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 109510
 
4.6%
8165 108897
 
4.6%
6804 107098
 
4.5%
7257 104142
 
4.4%
7711 91117
 
3.8%
6350 82170
 
3.5%
8618 76350
 
3.2%
7938 64836
 
2.7%
5897 64224
 
2.7%
7484 62994
 
2.6%
Other values (656) 1390755
58.4%
(Missing) 117954
 
5.0%
ValueCountFrequency (%)
2268 68
< 0.1%
2313 6
 
< 0.1%
2359 6
 
< 0.1%
2400 1
 
< 0.1%
2404 8
 
< 0.1%
ValueCountFrequency (%)
29030 1
 
< 0.1%
28985 1
 
< 0.1%
28123 1
 
< 0.1%
28000 3
< 0.1%
27714 2
< 0.1%

_BMI5
Real number (ℝ)

Missing 

Distinct4962
Distinct (%)0.2%
Missing146916
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean2782.094939
Minimum1201
Maximum9995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.850741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1201
5-th percentile1997
Q12367
median2663
Q33079
95-th percentile3913
Maximum9995
Range8794
Interquartile range (IQR)712

Descriptive statistics

Standard deviation619.4100224
Coefficient of variation (CV)0.2226415834
Kurtosis6.103194425
Mean2782.094939
Median Absolute Deviation (MAD)346
Skewness1.571075661
Sum6212782453
Variance383668.7758
MonotonicityNot monotonic
2025-05-10T13:44:54.890611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2663 26327
 
1.1%
2746 20810
 
0.9%
2744 20389
 
0.9%
2441 18099
 
0.8%
2712 15845
 
0.7%
2510 15078
 
0.6%
2929 13376
 
0.6%
2575 13331
 
0.6%
2834 13130
 
0.6%
2421 12796
 
0.5%
Other values (4952) 2063950
86.7%
(Missing) 146916
 
6.2%
ValueCountFrequency (%)
1201 1
 
< 0.1%
1202 8
< 0.1%
1203 1
 
< 0.1%
1205 2
 
< 0.1%
1206 1
 
< 0.1%
ValueCountFrequency (%)
9995 1
< 0.1%
9963 1
< 0.1%
9920 1
< 0.1%
9891 1
< 0.1%
9769 1
< 0.1%

_BMI5CAT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing146916
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean2.920501305
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.920480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8266948615
Coefficient of variation (CV)0.2830660819
Kurtosis-1.150576596
Mean2.920501305
Median Absolute Deviation (MAD)1
Skewness-0.03369800596
Sum6521862
Variance0.6834243941
MonotonicityNot monotonic
2025-05-10T13:44:54.949091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 807889
33.9%
2 743863
31.3%
4 643030
27.0%
1 38349
 
1.6%
(Missing) 146916
 
6.2%
ValueCountFrequency (%)
1 38349
 
1.6%
2 743863
31.3%
3 807889
33.9%
4 643030
27.0%
ValueCountFrequency (%)
4 643030
27.0%
3 807889
33.9%
2 743863
31.3%
1 38349
 
1.6%

_RFBMI5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.103443335
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:54.976954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.828287817
Coefficient of variation (CV)0.8691880527
Kurtosis9.541474627
Mean2.103443335
Median Absolute Deviation (MAD)0
Skewness3.240834201
Sum5006294
Variance3.34263634
MonotonicityNot monotonic
2025-05-10T13:44:55.007400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1450919
61.0%
1 782212
32.9%
9 146916
 
6.2%
ValueCountFrequency (%)
1 782212
32.9%
2 1450919
61.0%
9 146916
 
6.2%
ValueCountFrequency (%)
9 146916
 
6.2%
2 1450919
61.0%
1 782212
32.9%

_CHLDCNT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.555788184
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.038491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141709303
Coefficient of variation (CV)0.7338462363
Kurtosis11.06105808
Mean1.555788184
Median Absolute Deviation (MAD)0
Skewness2.867411889
Sum3702849
Variance1.303500133
MonotonicityNot monotonic
2025-05-10T13:44:55.068976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1737459
73.0%
2 255767
 
10.7%
3 226890
 
9.5%
4 96495
 
4.1%
5 33559
 
1.4%
6 16494
 
0.7%
9 13383
 
0.6%
ValueCountFrequency (%)
1 1737459
73.0%
2 255767
 
10.7%
3 226890
 
9.5%
4 96495
 
4.1%
5 33559
 
1.4%
ValueCountFrequency (%)
9 13383
 
0.6%
6 16494
 
0.7%
5 33559
 
1.4%
4 96495
4.1%
3 226890
9.5%

_EDUCAG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.921933474
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.099136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.072046307
Coefficient of variation (CV)0.3668962063
Kurtosis3.456828598
Mean2.921933474
Median Absolute Deviation (MAD)1
Skewness0.5769847522
Sum6954339
Variance1.149283284
MonotonicityNot monotonic
2025-05-10T13:44:55.130492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 834955
35.1%
2 686393
28.8%
3 644869
27.1%
1 202168
 
8.5%
9 11662
 
0.5%
ValueCountFrequency (%)
1 202168
 
8.5%
2 686393
28.8%
3 644869
27.1%
4 834955
35.1%
9 11662
 
0.5%
ValueCountFrequency (%)
9 11662
 
0.5%
4 834955
35.1%
3 644869
27.1%
2 686393
28.8%
1 202168
 
8.5%

_INCOMG
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.434259492
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.160922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.367698573
Coefficient of variation (CV)0.5339557998
Kurtosis-0.2621127282
Mean4.434259492
Median Absolute Deviation (MAD)2
Skewness0.6024201401
Sum10553746
Variance5.605996535
MonotonicityNot monotonic
2025-05-10T13:44:55.191813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 891515
37.5%
9 362612
15.2%
2 357742
15.0%
4 295327
 
12.4%
1 241341
 
10.1%
3 231510
 
9.7%
ValueCountFrequency (%)
1 241341
 
10.1%
2 357742
15.0%
3 231510
 
9.7%
4 295327
 
12.4%
5 891515
37.5%
ValueCountFrequency (%)
9 362612
15.2%
5 891515
37.5%
4 295327
 
12.4%
3 231510
 
9.7%
2 357742
15.0%

_SMOKER3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.440099712
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.222434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.354937995
Coefficient of variation (CV)0.3938659073
Kurtosis6.180308776
Mean3.440099712
Median Absolute Deviation (MAD)0
Skewness1.267571822
Sum8187599
Variance1.835856969
MonotonicityNot monotonic
2025-05-10T13:44:55.254564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1275531
53.6%
3 672414
28.3%
1 262829
 
11.0%
2 102579
 
4.3%
9 66694
 
2.8%
ValueCountFrequency (%)
1 262829
 
11.0%
2 102579
 
4.3%
3 672414
28.3%
4 1275531
53.6%
9 66694
 
2.8%
ValueCountFrequency (%)
9 66694
 
2.8%
4 1275531
53.6%
3 672414
28.3%
2 102579
 
4.3%
1 262829
 
11.0%

_RFSMOK3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.377706827
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.284040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.343236665
Coefficient of variation (CV)0.9749800454
Kurtosis26.06812701
Mean1.377706827
Median Absolute Deviation (MAD)0
Skewness5.117436155
Sum3279007
Variance1.804284737
MonotonicityNot monotonic
2025-05-10T13:44:55.313592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1947945
81.8%
2 365408
 
15.4%
9 66694
 
2.8%
ValueCountFrequency (%)
1 1947945
81.8%
2 365408
 
15.4%
9 66694
 
2.8%
ValueCountFrequency (%)
9 66694
 
2.8%
2 365408
 
15.4%
1 1947945
81.8%

DRNKANY5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.846619415
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.344119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.635193299
Coefficient of variation (CV)0.8855063938
Kurtosis13.05992606
Mean1.846619415
Median Absolute Deviation (MAD)1
Skewness3.652081893
Sum4395041
Variance2.673857126
MonotonicityNot monotonic
2025-05-10T13:44:55.373824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1140587
47.9%
2 1124400
47.2%
9 100117
 
4.2%
7 14943
 
0.6%
ValueCountFrequency (%)
1 1140587
47.9%
2 1124400
47.2%
7 14943
 
0.6%
9 100117
 
4.2%
ValueCountFrequency (%)
9 100117
 
4.2%
7 14943
 
0.6%
2 1124400
47.2%
1 1140587
47.9%

DROCDY3_
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.78140232
Minimum5.397605347 × 10-79
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.409666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median3
Q327
95-th percentile100
Maximum900
Range900
Interquartile range (IQR)27

Descriptive statistics

Standard deviation191.4908781
Coefficient of variation (CV)3.257677948
Kurtosis15.00979376
Mean58.78140232
Median Absolute Deviation (MAD)3
Skewness4.080275948
Sum139902030
Variance36668.7564
MonotonicityNot monotonic
2025-05-10T13:44:55.445509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5.397605347 × 10-791124400
47.2%
3 178087
 
7.5%
7 137070
 
5.8%
100 124386
 
5.2%
900 115057
 
4.8%
14 96512
 
4.1%
29 77102
 
3.2%
10 76378
 
3.2%
13 63449
 
2.7%
17 60507
 
2.5%
Other values (26) 327091
 
13.7%
ValueCountFrequency (%)
5.397605347 × 10-791124400
47.2%
3 178087
 
7.5%
7 137070
 
5.8%
10 76378
 
3.2%
13 63449
 
2.7%
ValueCountFrequency (%)
900 115057
4.8%
100 124386
5.2%
97 1658
 
0.1%
93 4491
 
0.2%
90 1167
 
< 0.1%

_RFBING5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.569787487
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.474631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.846398197
Coefficient of variation (CV)1.176209017
Kurtosis11.82484829
Mean1.569787487
Median Absolute Deviation (MAD)0
Skewness3.65922727
Sum3736168
Variance3.409186303
MonotonicityNot monotonic
2025-05-10T13:44:55.504097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1965251
82.6%
2 280321
 
11.8%
9 134475
 
5.7%
ValueCountFrequency (%)
1 1965251
82.6%
2 280321
 
11.8%
9 134475
 
5.7%
ValueCountFrequency (%)
9 134475
 
5.7%
2 280321
 
11.8%
1 1965251
82.6%

_DRNKWEK
Real number (ℝ)

Missing 

Distinct251
Distinct (%)0.1%
Missing1938591
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean6069.623822
Minimum5.397605347 × 10-79
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.543663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median23
Q3350
95-th percentile99900
Maximum99900
Range99900
Interquartile range (IQR)350

Descriptive statistics

Standard deviation23357.35054
Coefficient of variation (CV)3.84823693
Kurtosis12.1848653
Mean6069.623822
Median Absolute Deviation (MAD)23
Skewness3.764288752
Sum2679471854
Variance545565824.4
MonotonicityNot monotonic
2025-05-10T13:44:55.584495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79208460
 
8.8%
99900 25733
 
1.1%
23 23868
 
1.0%
47 18689
 
0.8%
93 13585
 
0.6%
700 12702
 
0.5%
1400 8957
 
0.4%
200 8875
 
0.4%
70 8614
 
0.4%
100 8244
 
0.3%
Other values (241) 103729
 
4.4%
(Missing) 1938591
81.5%
ValueCountFrequency (%)
5.397605347 × 10-79208460
8.8%
23 23868
 
1.0%
47 18689
 
0.8%
70 8614
 
0.4%
93 13585
 
0.6%
ValueCountFrequency (%)
99900 25733
1.1%
53200 4
 
< 0.1%
52500 1
 
< 0.1%
49000 2
 
< 0.1%
42000 12
 
< 0.1%

_RFDRHV5
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1938591
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean1.516311931
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.615274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.874579708
Coefficient of variation (CV)1.236275775
Kurtosis11.81198756
Mean1.516311931
Median Absolute Deviation (MAD)0
Skewness3.691093497
Sum669385
Variance3.514049083
MonotonicityNot monotonic
2025-05-10T13:44:55.644953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 393658
 
16.5%
9 25733
 
1.1%
2 22065
 
0.9%
(Missing) 1938591
81.5%
ValueCountFrequency (%)
1 393658
16.5%
2 22065
 
0.9%
9 25733
 
1.1%
ValueCountFrequency (%)
9 25733
 
1.1%
2 22065
 
0.9%
1 393658
16.5%

FTJUDA1_
Real number (ℝ)

Missing  Skewed 

Distinct132
Distinct (%)< 0.1%
Missing1042813
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean39.92573177
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.683752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median13
Q367
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)67

Descriptive statistics

Standard deviation72.76783763
Coefficient of variation (CV)1.822579935
Kurtosis3468.540288
Mean39.92573177
Median Absolute Deviation (MAD)13
Skewness30.19968115
Sum53390046
Variance5295.158193
MonotonicityNot monotonic
2025-05-10T13:44:55.726113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79501208
21.1%
100 246169
 
10.3%
29 63871
 
2.7%
7 58424
 
2.5%
14 56768
 
2.4%
43 56230
 
2.4%
3 46919
 
2.0%
10 36742
 
1.5%
200 35794
 
1.5%
17 34955
 
1.5%
Other values (122) 200154
 
8.4%
(Missing) 1042813
43.8%
ValueCountFrequency (%)
5.397605347 × 10-79501208
21.1%
2 12799
 
0.5%
3 46919
 
2.0%
7 58424
 
2.5%
10 36742
 
1.5%
ValueCountFrequency (%)
9900 12
< 0.1%
9300 1
 
< 0.1%
7500 1
 
< 0.1%
6000 1
 
< 0.1%
5000 2
 
< 0.1%

FRUTDA1_
Real number (ℝ)

Missing  Skewed 

Distinct154
Distinct (%)< 0.1%
Missing1034943
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean101.7188336
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.766517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile3
Q133
median100
Q3100
95-th percentile300
Maximum9900
Range9900
Interquartile range (IQR)67

Descriptive statistics

Standard deviation108.8887528
Coefficient of variation (CV)1.070487626
Kurtosis1706.395984
Mean101.7188336
Median Absolute Deviation (MAD)57
Skewness21.6026402
Sum136822410
Variance11856.76048
MonotonicityNot monotonic
2025-05-10T13:44:55.807647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 396916
 
16.7%
200 186736
 
7.8%
43 88809
 
3.7%
300 71380
 
3.0%
29 70843
 
3.0%
5.397605347 × 10-7952776
 
2.2%
57 49897
 
2.1%
67 44447
 
1.9%
14 42354
 
1.8%
50 41448
 
1.7%
Other values (144) 299498
 
12.6%
(Missing) 1034943
43.5%
ValueCountFrequency (%)
5.397605347 × 10-7952776
2.2%
2 1850
 
0.1%
3 16772
 
0.7%
7 27151
1.1%
10 22948
1.0%
ValueCountFrequency (%)
9900 32
< 0.1%
8000 1
 
< 0.1%
7500 3
 
< 0.1%
7200 1
 
< 0.1%
6000 3
 
< 0.1%

BEANDAY_
Real number (ℝ)

Missing  Skewed 

Distinct126
Distinct (%)< 0.1%
Missing1045464
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean27.69926262
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.849639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q17
median14
Q333
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)26

Descriptive statistics

Standard deviation44.02278162
Coefficient of variation (CV)1.589312403
Kurtosis9972.598492
Mean27.69926262
Median Absolute Deviation (MAD)14
Skewness50.76349106
Sum36966965
Variance1938.005302
MonotonicityNot monotonic
2025-05-10T13:44:55.891285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79226453
 
9.5%
14 149541
 
6.3%
29 137696
 
5.8%
7 111287
 
4.7%
43 97740
 
4.1%
3 74622
 
3.1%
100 69732
 
2.9%
10 69708
 
2.9%
17 67248
 
2.8%
13 56988
 
2.4%
Other values (116) 273568
 
11.5%
(Missing) 1045464
43.9%
ValueCountFrequency (%)
5.397605347 × 10-79226453
9.5%
2 6948
 
0.3%
3 74622
 
3.1%
7 111287
4.7%
10 69708
 
2.9%
ValueCountFrequency (%)
9900 5
< 0.1%
5500 1
 
< 0.1%
5000 1
 
< 0.1%
3500 1
 
< 0.1%
3000 5
< 0.1%

GRENDAY_
Real number (ℝ)

Missing  Skewed 

Distinct139
Distinct (%)< 0.1%
Missing1038594
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean54.99301876
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:55.931648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q114
median43
Q383
95-th percentile200
Maximum9900
Range9900
Interquartile range (IQR)69

Descriptive statistics

Standard deviation64.04230166
Coefficient of variation (CV)1.164553303
Kurtosis3712.81702
Mean54.99301876
Median Absolute Deviation (MAD)29
Skewness29.07858176
Sum73770550
Variance4101.416402
MonotonicityNot monotonic
2025-05-10T13:44:55.973530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 222334
 
9.3%
43 131351
 
5.5%
29 124229
 
5.2%
5.397605347 × 10-79106691
 
4.5%
14 95280
 
4.0%
57 74961
 
3.1%
67 57486
 
2.4%
71 54090
 
2.3%
200 53921
 
2.3%
50 53528
 
2.2%
Other values (129) 367582
 
15.4%
(Missing) 1038594
43.6%
ValueCountFrequency (%)
5.397605347 × 10-79106691
4.5%
2 3824
 
0.2%
3 29629
 
1.2%
7 47548
2.0%
10 34725
 
1.5%
ValueCountFrequency (%)
9900 6
< 0.1%
9300 1
 
< 0.1%
8800 1
 
< 0.1%
8700 1
 
< 0.1%
7500 2
 
< 0.1%

ORNGDAY_
Real number (ℝ)

Missing  Skewed 

Distinct113
Distinct (%)< 0.1%
Missing1042633
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean29.34321758
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.014519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q17
median17
Q343
95-th percentile100
Maximum9900
Range9900
Interquartile range (IQR)36

Descriptive statistics

Standard deviation41.73889405
Coefficient of variation (CV)1.422437534
Kurtosis7389.036206
Mean29.34321758
Median Absolute Deviation (MAD)14
Skewness37.34064578
Sum39244030
Variance1742.135277
MonotonicityNot monotonic
2025-05-10T13:44:56.056402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79193345
 
8.1%
14 171972
 
7.2%
29 143392
 
6.0%
7 105427
 
4.4%
43 98077
 
4.1%
100 87112
 
3.7%
3 74839
 
3.1%
17 71685
 
3.0%
33 61815
 
2.6%
10 61683
 
2.6%
Other values (103) 268067
 
11.3%
(Missing) 1042633
43.8%
ValueCountFrequency (%)
5.397605347 × 10-79193345
8.1%
2 6666
 
0.3%
3 74839
 
3.1%
7 105427
4.4%
10 61683
 
2.6%
ValueCountFrequency (%)
9900 3
< 0.1%
5000 1
 
< 0.1%
3100 1
 
< 0.1%
3000 5
< 0.1%
2500 5
< 0.1%

VEGEDA1_
Real number (ℝ)

Missing  Skewed 

Distinct147
Distinct (%)< 0.1%
Missing1049427
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean80.91011934
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.097635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile10
Q140
median71
Q3100
95-th percentile200
Maximum9900
Range9900
Interquartile range (IQR)60

Descriptive statistics

Standard deviation78.21630773
Coefficient of variation (CV)0.9667061224
Kurtosis3942.359198
Mean80.91011934
Median Absolute Deviation (MAD)29
Skewness34.63739013
Sum107660623
Variance6117.790795
MonotonicityNot monotonic
2025-05-10T13:44:56.140361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 408936
 
17.2%
200 110650
 
4.6%
43 110310
 
4.6%
29 87963
 
3.7%
57 72480
 
3.0%
67 70522
 
3.0%
71 57732
 
2.4%
50 53900
 
2.3%
14 50985
 
2.1%
33 45916
 
1.9%
Other values (137) 261226
 
11.0%
(Missing) 1049427
44.1%
ValueCountFrequency (%)
5.397605347 × 10-7923509
1.0%
2 1122
 
< 0.1%
3 10983
0.5%
7 18671
0.8%
10 17120
0.7%
ValueCountFrequency (%)
9900 20
< 0.1%
7500 2
 
< 0.1%
5000 1
 
< 0.1%
4400 1
 
< 0.1%
3100 2
 
< 0.1%

_MISFRTN
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.1368719507
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.173159image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4773365987
Coefficient of variation (CV)3.487468368
Kurtosis10.02860626
Mean0.1368719507
Median Absolute Deviation (MAD)0
Skewness3.400897486
Sum197054
Variance0.2278502284
MonotonicityNot monotonic
2025-05-10T13:44:56.205464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-791321618
55.5%
2 78976
 
3.3%
1 39102
 
1.6%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-791321618
55.5%
1 39102
 
1.6%
2 78976
 
3.3%
ValueCountFrequency (%)
2 78976
 
3.3%
1 39102
 
1.6%
5.397605347 × 10-791321618
55.5%

_MISVEGN
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.2880566453
Minimum5.397605347 × 10-79
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.236684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9711170945
Coefficient of variation (CV)3.371271277
Kurtosis9.734459153
Mean0.2880566453
Median Absolute Deviation (MAD)0
Skewness3.364351679
Sum414714
Variance0.9430684113
MonotonicityNot monotonic
2025-05-10T13:44:56.268797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5.397605347 × 10-791299363
54.6%
4 83395
 
3.5%
1 39415
 
1.7%
2 10850
 
0.5%
3 6673
 
0.3%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-791299363
54.6%
1 39415
 
1.7%
2 10850
 
0.5%
3 6673
 
0.3%
4 83395
 
3.5%
ValueCountFrequency (%)
4 83395
 
3.5%
3 6673
 
0.3%
2 10850
 
0.5%
1 39415
 
1.7%
5.397605347 × 10-791299363
54.6%

_FRTRESP
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.9179840744
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.300177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2743890775
Coefficient of variation (CV)0.2989039626
Kurtosis7.282126917
Mean0.9179840744
Median Absolute Deviation (MAD)0
Skewness-3.04665666
Sum1321618
Variance0.07528936583
MonotonicityNot monotonic
2025-05-10T13:44:56.329217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1321618
55.5%
5.397605347 × 10-79118078
 
5.0%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-79118078
 
5.0%
1 1321618
55.5%
ValueCountFrequency (%)
1 1321618
55.5%
5.397605347 × 10-79118078
 
5.0%

_VEGRESP
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.9025259499
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.358433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2966022939
Coefficient of variation (CV)0.3286357516
Kurtosis5.367164948
Mean0.9025259499
Median Absolute Deviation (MAD)0
Skewness-2.714250816
Sum1299363
Variance0.08797292074
MonotonicityNot monotonic
2025-05-10T13:44:56.387421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1299363
54.6%
5.397605347 × 10-79140333
 
5.9%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-79140333
 
5.9%
1 1299363
54.6%
ValueCountFrequency (%)
1 1299363
54.6%
5.397605347 × 10-79140333
 
5.9%

_FRUTSUM
Real number (ℝ)

Missing  Skewed 

Distinct680
Distinct (%)0.1%
Missing1044224
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean141.0461985
Minimum5.397605347 × 10-79
Maximum19800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.424976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile9
Q157
median107
Q3200
95-th percentile383
Maximum19800
Range19800
Interquartile range (IQR)143

Descriptive statistics

Standard deviation139.1508158
Coefficient of variation (CV)0.9865619726
Kurtosis1627.541585
Mean141.0461985
Median Absolute Deviation (MAD)64
Skewness20.2913458
Sum188412756
Variance19362.94954
MonotonicityNot monotonic
2025-05-10T13:44:56.468885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 170694
 
7.2%
100 162117
 
6.8%
300 80172
 
3.4%
43 42932
 
1.8%
5.397605347 × 10-7937071
 
1.6%
143 34038
 
1.4%
114 33048
 
1.4%
400 31795
 
1.3%
129 30844
 
1.3%
57 27109
 
1.1%
Other values (670) 686003
28.8%
(Missing) 1044224
43.9%
ValueCountFrequency (%)
5.397605347 × 10-7937071
1.6%
2 375
 
< 0.1%
3 10512
 
0.4%
4 950
 
< 0.1%
5 267
 
< 0.1%
ValueCountFrequency (%)
19800 2
< 0.1%
15000 1
< 0.1%
13200 1
< 0.1%
12900 1
< 0.1%
10900 2
< 0.1%

_VEGESUM
Real number (ℝ)

Missing 

Distinct1341
Distinct (%)0.1%
Missing1060986
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean191.9692364
Minimum5.397605347 × 10-79
Maximum20460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.511755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile37
Q1107
median167
Q3243
95-th percentile428
Maximum20460
Range20460
Interquartile range (IQR)136

Descriptive statistics

Standard deviation148.2992608
Coefficient of variation (CV)0.7725157612
Kurtosis1539.112914
Mean191.9692364
Median Absolute Deviation (MAD)66
Skewness17.77642458
Sum253219133
Variance21992.67076
MonotonicityNot monotonic
2025-05-10T13:44:56.551613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 28557
 
1.2%
157 22468
 
0.9%
143 21339
 
0.9%
100 21262
 
0.9%
186 18420
 
0.8%
243 17844
 
0.7%
300 17434
 
0.7%
172 16270
 
0.7%
214 15868
 
0.7%
129 14907
 
0.6%
Other values (1331) 1124692
47.3%
(Missing) 1060986
44.6%
ValueCountFrequency (%)
5.397605347 × 10-796018
0.3%
2 38
 
< 0.1%
3 2236
 
0.1%
4 31
 
< 0.1%
5 6
 
< 0.1%
ValueCountFrequency (%)
20460 1
< 0.1%
19929 1
< 0.1%
19827 1
< 0.1%
18400 1
< 0.1%
15150 1
< 0.1%

_FRTLT1
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.064985122
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.582245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.242977335
Coefficient of variation (CV)1.086195398
Kurtosis5.35224955
Mean2.064985122
Median Absolute Deviation (MAD)0
Skewness2.630636863
Sum1927104
Variance5.030947327
MonotonicityNot monotonic
2025-05-10T13:44:56.612149image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 534305
 
22.4%
2 313931
 
13.2%
9 84993
 
3.6%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 534305
22.4%
2 313931
13.2%
9 84993
 
3.6%
ValueCountFrequency (%)
9 84993
 
3.6%
2 313931
13.2%
1 534305
22.4%

_VEGLT1
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.047974291
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.640859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.446713184
Coefficient of variation (CV)1.194699169
Kurtosis4.050065419
Mean2.047974291
Median Absolute Deviation (MAD)0
Skewness2.417314513
Sum1911229
Variance5.986405405
MonotonicityNot monotonic
2025-05-10T13:44:56.670007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 659429
27.7%
2 173200
 
7.3%
9 100600
 
4.2%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 659429
27.7%
2 173200
 
7.3%
9 100600
 
4.2%
ValueCountFrequency (%)
9 100600
 
4.2%
2 173200
 
7.3%
1 659429
27.7%

_FRT16
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.999813155
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.701982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0136678535
Coefficient of variation (CV)0.01367040775
Kurtosis5347.048501
Mean0.999813155
Median Absolute Deviation (MAD)0
Skewness-73.13713881
Sum1439427
Variance0.0001868102193
MonotonicityNot monotonic
2025-05-10T13:44:56.733151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1439427
60.5%
5.397605347 × 10-79269
 
< 0.1%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-79269
 
< 0.1%
1 1439427
60.5%
ValueCountFrequency (%)
1 1439427
60.5%
5.397605347 × 10-79269
 
< 0.1%

_VEG23
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.9998965059
Minimum5.397605347 × 10-79
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.763942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01017268066
Coefficient of variation (CV)0.01017373358
Kurtosis9657.422909
Mean0.9998965059
Median Absolute Deviation (MAD)0
Skewness-98.28229491
Sum1439547
Variance0.0001034834318
MonotonicityNot monotonic
2025-05-10T13:44:56.794285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1439547
60.5%
5.397605347 × 10-79149
 
< 0.1%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-79149
 
< 0.1%
1 1439547
60.5%
ValueCountFrequency (%)
1 1439547
60.5%
5.397605347 × 10-79149
 
< 0.1%

_FRUITEX
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.08238683722
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.823734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2756269411
Coefficient of variation (CV)3.345521572
Kurtosis7.516995634
Mean0.08238683722
Median Absolute Deviation (MAD)0
Skewness3.064250258
Sum118612
Variance0.07597021068
MonotonicityNot monotonic
2025-05-10T13:44:56.857564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-791321351
55.5%
1 118078
 
5.0%
2 267
 
< 0.1%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-791321351
55.5%
1 118078
 
5.0%
2 267
 
< 0.1%
ValueCountFrequency (%)
2 267
 
< 0.1%
1 118078
 
5.0%
5.397605347 × 10-791321351
55.5%

_VEGETEX
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean0.09767964904
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:56.888622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2972271783
Coefficient of variation (CV)3.042877214
Kurtosis5.462055345
Mean0.09767964904
Median Absolute Deviation (MAD)0
Skewness2.722055961
Sum140629
Variance0.08834399552
MonotonicityNot monotonic
2025-05-10T13:44:57.096504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-791299215
54.6%
1 140333
 
5.9%
2 148
 
< 0.1%
(Missing) 940351
39.5%
ValueCountFrequency (%)
5.397605347 × 10-791299215
54.6%
1 140333
 
5.9%
2 148
 
< 0.1%
ValueCountFrequency (%)
2 148
 
< 0.1%
1 140333
 
5.9%
5.397605347 × 10-791299215
54.6%

_TOTINDA
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.580216693
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.126943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.598908664
Coefficient of variation (CV)1.011828739
Kurtosis16.16698547
Mean1.580216693
Median Absolute Deviation (MAD)0
Skewness4.098078358
Sum3760990
Variance2.556508916
MonotonicityNot monotonic
2025-05-10T13:44:57.156846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 98302
 
4.1%
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 98302
 
4.1%
ValueCountFrequency (%)
9 98302
 
4.1%
2 594527
 
25.0%
1 1687218
70.9%

METVL11_
Real number (ℝ)

Missing 

Distinct29
Distinct (%)< 0.1%
Missing1754689
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean41.98447769
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.191722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile33
Q135
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.12231783
Coefficient of variation (CV)0.3840066309
Kurtosis2.17965672
Mean41.98447769
Median Absolute Deviation (MAD)0
Skewness0.3047420173
Sum26255329
Variance259.9291322
MonotonicityNot monotonic
2025-05-10T13:44:57.229713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35 351157
 
14.8%
60 55336
 
2.3%
50 48823
 
2.1%
68 29827
 
1.3%
5.397605347 × 10-7928593
 
1.2%
45 26151
 
1.1%
73 17903
 
0.8%
38 11803
 
0.5%
70 10569
 
0.4%
40 9859
 
0.4%
Other values (19) 35337
 
1.5%
(Missing) 1754689
73.7%
ValueCountFrequency (%)
5.397605347 × 10-7928593
 
1.2%
25 121
 
< 0.1%
30 1787
 
0.1%
33 4289
 
0.2%
35 351157
14.8%
ValueCountFrequency (%)
128 647
< 0.1%
125 204
 
< 0.1%
120 55
 
< 0.1%
110 84
 
< 0.1%
103 1109
< 0.1%

METVL21_
Real number (ℝ)

Missing 

Distinct29
Distinct (%)< 0.1%
Missing1764752
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean28.70895912
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.265859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)50

Descriptive statistics

Standard deviation26.52707278
Coefficient of variation (CV)0.9239998103
Kurtosis-0.9627269028
Mean28.70895912
Median Absolute Deviation (MAD)33
Skewness0.2859318561
Sum17664479
Variance703.6855902
MonotonicityNot monotonic
2025-05-10T13:44:57.303116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.397605347 × 10-79250660
 
10.5%
35 98236
 
4.1%
50 39463
 
1.7%
60 34504
 
1.4%
45 33044
 
1.4%
68 29819
 
1.3%
33 29758
 
1.3%
40 20571
 
0.9%
38 14101
 
0.6%
73 12247
 
0.5%
Other values (19) 52892
 
2.2%
(Missing) 1764752
74.1%
ValueCountFrequency (%)
5.397605347 × 10-79250660
10.5%
25 266
 
< 0.1%
30 2533
 
0.1%
33 29758
 
1.3%
35 98236
 
4.1%
ValueCountFrequency (%)
128 556
< 0.1%
125 348
< 0.1%
120 55
 
< 0.1%
110 207
 
< 0.1%
103 688
< 0.1%

MAXVO2_
Real number (ℝ)

Missing 

Distinct163
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean3856.511937
Minimum555
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.342699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile1655
Q12260
median2765
Q33415
95-th percentile4460
Maximum99900
Range99345
Interquartile range (IQR)1155

Descriptive statistics

Standard deviation9897.725517
Coefficient of variation (CV)2.566496793
Kurtosis89.55991546
Mean3856.511937
Median Absolute Deviation (MAD)555
Skewness9.535769781
Sum5552204809
Variance97964970.42
MonotonicityNot monotonic
2025-05-10T13:44:57.385630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2580 20094
 
0.8%
2506 19715
 
0.8%
2395 19266
 
0.8%
2432 18858
 
0.8%
2765 18363
 
0.8%
2469 18347
 
0.8%
2654 18343
 
0.8%
2691 18185
 
0.8%
2617 18045
 
0.8%
2321 17690
 
0.7%
Other values (153) 1252790
52.6%
(Missing) 940351
39.5%
ValueCountFrequency (%)
555 276
< 0.1%
610 48
 
< 0.1%
665 70
 
< 0.1%
720 111
< 0.1%
775 210
< 0.1%
ValueCountFrequency (%)
99900 15030
0.6%
5010 5323
 
0.2%
4955 4939
 
0.2%
4900 4990
 
0.2%
4845 5358
 
0.2%

FC60_
Real number (ℝ)

Missing 

Distinct156
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean1525.259704
Minimum95
Maximum99900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.426468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile284
Q1387
median474
Q3585
95-th percentile765
Maximum99900
Range99805
Interquartile range (IQR)198

Descriptive statistics

Standard deviation10105.25563
Coefficient of variation (CV)6.625268863
Kurtosis90.76397439
Mean1525.259704
Median Absolute Deviation (MAD)95
Skewness9.630461139
Sum2195910295
Variance102116191.3
MonotonicityNot monotonic
2025-05-10T13:44:57.468682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442 20094
 
0.8%
430 19715
 
0.8%
411 19266
 
0.8%
417 18858
 
0.8%
474 18363
 
0.8%
423 18347
 
0.8%
455 18343
 
0.8%
461 18185
 
0.8%
449 18045
 
0.8%
595 17880
 
0.8%
Other values (146) 1252600
52.6%
(Missing) 940351
39.5%
ValueCountFrequency (%)
95 276
< 0.1%
105 48
 
< 0.1%
114 70
 
< 0.1%
123 111
< 0.1%
133 210
< 0.1%
ValueCountFrequency (%)
99900 15030
0.6%
859 5323
 
0.2%
849 4939
 
0.2%
840 4990
 
0.2%
831 5358
 
0.2%

ACTIN11_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1760626
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean1.283136994
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.501349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5430517052
Coefficient of variation (CV)0.4232219223
Kurtosis-0.5217026555
Mean1.283136994
Median Absolute Deviation (MAD)0
Skewness0.06209009887
Sum794802
Variance0.2949051546
MonotonicityNot monotonic
2025-05-10T13:44:57.532711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 387094
 
16.3%
2 203854
 
8.6%
5.397605347 × 10-7928473
 
1.2%
(Missing) 1760626
74.0%
ValueCountFrequency (%)
5.397605347 × 10-7928473
 
1.2%
1 387094
16.3%
2 203854
8.6%
ValueCountFrequency (%)
2 203854
8.6%
1 387094
16.3%
5.397605347 × 10-7928473
 
1.2%

ACTIN21_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1770489
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean0.8640916861
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.563287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8128996355
Coefficient of variation (CV)0.9407562283
Kurtosis-1.44353889
Mean0.8640916861
Median Absolute Deviation (MAD)1
Skewness0.2532338007
Sum526714
Variance0.6608058174
MonotonicityNot monotonic
2025-05-10T13:44:57.594684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79248451
 
10.4%
1 195500
 
8.2%
2 165607
 
7.0%
(Missing) 1770489
74.4%
ValueCountFrequency (%)
5.397605347 × 10-79248451
10.4%
1 195500
8.2%
2 165607
7.0%
ValueCountFrequency (%)
2 165607
7.0%
1 195500
8.2%
5.397605347 × 10-79248451
10.4%

PADUR1_
Real number (ℝ)

Missing 

Distinct269
Distinct (%)< 0.1%
Missing1424958
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean63.32963525
Minimum1
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.632689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q130
median45
Q360
95-th percentile180
Maximum599
Range598
Interquartile range (IQR)30

Descriptive statistics

Standard deviation65.27647696
Coefficient of variation (CV)1.030741401
Kurtosis14.41435566
Mean63.32963525
Median Absolute Deviation (MAD)15
Skewness3.287820347
Sum60485438
Variance4261.018444
MonotonicityNot monotonic
2025-05-10T13:44:57.672906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 244920
 
10.3%
60 213414
 
9.0%
45 94911
 
4.0%
20 69792
 
2.9%
120 65039
 
2.7%
90 42155
 
1.8%
15 38502
 
1.6%
40 31752
 
1.3%
180 26491
 
1.1%
240 20685
 
0.9%
Other values (259) 107428
 
4.5%
(Missing) 1424958
59.9%
ValueCountFrequency (%)
1 3248
0.1%
2 1942
0.1%
3 1193
 
0.1%
4 1050
 
< 0.1%
5 4085
0.2%
ValueCountFrequency (%)
599 391
< 0.1%
596 1
 
< 0.1%
595 2
 
< 0.1%
590 6
 
< 0.1%
588 1
 
< 0.1%

PADUR2_
Real number (ℝ)

Missing 

Distinct254
Distinct (%)< 0.1%
Missing1767873
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean71.3975275
Minimum5.397605347 × 10-79
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.712528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile10
Q130
median45
Q390
95-th percentile240
Maximum599
Range599
Interquartile range (IQR)60

Descriptive statistics

Standard deviation76.7290486
Coefficient of variation (CV)1.07467375
Kurtosis9.974478693
Mean71.3975275
Median Absolute Deviation (MAD)15
Skewness2.786728424
Sum43707710
Variance5887.346899
MonotonicityNot monotonic
2025-05-10T13:44:57.754153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 137104
 
5.8%
60 134232
 
5.6%
120 57621
 
2.4%
20 47796
 
2.0%
45 43622
 
1.8%
15 32332
 
1.4%
90 25162
 
1.1%
180 24816
 
1.0%
240 18537
 
0.8%
10 17627
 
0.7%
Other values (244) 73325
 
3.1%
(Missing) 1767873
74.3%
ValueCountFrequency (%)
5.397605347 × 10-792
 
< 0.1%
1 2399
0.1%
2 2037
0.1%
3 1361
0.1%
4 884
 
< 0.1%
ValueCountFrequency (%)
599 428
< 0.1%
595 4
 
< 0.1%
590 5
 
< 0.1%
588 1
 
< 0.1%
585 25
 
< 0.1%

PAFREQ1_
Real number (ℝ)

Missing 

Distinct145
Distinct (%)< 0.1%
Missing1413599
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean3974.799237
Minimum233
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.796746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum233
5-th percentile933
Q12000
median3000
Q35000
95-th percentile7000
Maximum99000
Range98767
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation2860.577601
Coefficient of variation (CV)0.7196785122
Kurtosis121.0373272
Mean3974.799237
Median Absolute Deviation (MAD)1667
Skewness6.078515372
Sum3841436773
Variance8182904.213
MonotonicityNot monotonic
2025-05-10T13:44:57.838988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 176955
 
7.4%
7000 167895
 
7.1%
2000 115923
 
4.9%
5000 94795
 
4.0%
4000 87648
 
3.7%
1000 58708
 
2.5%
6000 32396
 
1.4%
4667 28577
 
1.2%
3500 23530
 
1.0%
2333 19123
 
0.8%
Other values (135) 160898
 
6.8%
(Missing) 1413599
59.4%
ValueCountFrequency (%)
233 8219
 
0.3%
467 17865
 
0.8%
700 16490
 
0.7%
933 18409
 
0.8%
1000 58708
2.5%
ValueCountFrequency (%)
99000 43
< 0.1%
90000 3
 
< 0.1%
84000 1
 
< 0.1%
80000 3
 
< 0.1%
79000 1
 
< 0.1%

PAFREQ2_
Real number (ℝ)

Missing 

Distinct137
Distinct (%)< 0.1%
Missing1757812
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean3065.224973
Minimum233
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.880207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum233
5-th percentile467
Q11000
median2000
Q34000
95-th percentile7000
Maximum99000
Range98767
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation3162.422394
Coefficient of variation (CV)1.031709718
Kurtosis182.051741
Mean3065.224973
Median Absolute Deviation (MAD)1000
Skewness9.239505446
Sum1907290261
Variance10000915.4
MonotonicityNot monotonic
2025-05-10T13:44:57.922464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 111169
 
4.7%
3000 93366
 
3.9%
1000 84333
 
3.5%
7000 72746
 
3.1%
4000 32389
 
1.4%
5000 32315
 
1.4%
467 27173
 
1.1%
933 23597
 
1.0%
700 19894
 
0.8%
1167 15775
 
0.7%
Other values (127) 109478
 
4.6%
(Missing) 1757812
73.9%
ValueCountFrequency (%)
233 11725
 
0.5%
467 27173
 
1.1%
700 19894
 
0.8%
933 23597
 
1.0%
1000 84333
3.5%
ValueCountFrequency (%)
99000 52
< 0.1%
92000 1
 
< 0.1%
90000 1
 
< 0.1%
88000 1
 
< 0.1%
85000 1
 
< 0.1%

_MINAC11
Real number (ℝ)

Missing  Skewed 

Distinct967
Distinct (%)0.2%
Missing1772436
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean228.7880157
Minimum5.397605347 × 10-79
Maximum53460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:57.962865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q170
median140
Q3250
95-th percentile720
Maximum53460
Range53460
Interquartile range (IQR)180

Descriptive statistics

Standard deviation373.070718
Coefficient of variation (CV)1.630639249
Kurtosis1937.956955
Mean228.7880157
Median Absolute Deviation (MAD)80
Skewness22.60509806
Sum139014115
Variance139181.7606
MonotonicityNot monotonic
2025-05-10T13:44:58.005267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 39966
 
1.7%
5.397605347 × 10-7937959
 
1.6%
90 37661
 
1.6%
120 37236
 
1.6%
60 35055
 
1.5%
210 34321
 
1.4%
420 25382
 
1.1%
240 19630
 
0.8%
140 18361
 
0.8%
150 17110
 
0.7%
Other values (957) 304930
 
12.8%
(Missing) 1772436
74.5%
ValueCountFrequency (%)
5.397605347 × 10-7937959
1.6%
2 138
 
< 0.1%
3 230
 
< 0.1%
4 5
 
< 0.1%
5 608
 
< 0.1%
ValueCountFrequency (%)
53460 1
< 0.1%
44925 1
< 0.1%
41625 1
< 0.1%
40500 1
< 0.1%
36480 1
< 0.1%

_MINAC21
Real number (ℝ)

Missing  Skewed 

Distinct803
Distinct (%)0.1%
Missing1779359
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean127.3314166
Minimum5.397605347 × 10-79
Maximum47520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.044978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median30
Q3120
95-th percentile525
Maximum47520
Range47520
Interquartile range (IQR)120

Descriptive statistics

Standard deviation342.4832347
Coefficient of variation (CV)2.689699398
Kurtosis1710.608553
Mean127.3314166
Median Absolute Deviation (MAD)30
Skewness21.62687483
Sum76486454
Variance117294.7661
MonotonicityNot monotonic
2025-05-10T13:44:58.085500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79259879
 
10.9%
60 31951
 
1.3%
120 26276
 
1.1%
90 19919
 
0.8%
180 17648
 
0.7%
30 13217
 
0.6%
210 12865
 
0.5%
240 10897
 
0.5%
420 10812
 
0.5%
140 9213
 
0.4%
Other values (793) 188011
 
7.9%
(Missing) 1779359
74.8%
ValueCountFrequency (%)
5.397605347 × 10-79259879
10.9%
2 140
 
< 0.1%
3 211
 
< 0.1%
4 4
 
< 0.1%
5 647
 
< 0.1%
ValueCountFrequency (%)
47520 1
< 0.1%
41040 1
< 0.1%
40500 1
< 0.1%
27000 1
< 0.1%
23760 1
< 0.1%

STRFREQ_
Real number (ℝ)

Missing 

Distinct126
Distinct (%)< 0.1%
Missing1052998
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean1151.936339
Minimum5.397605347 × 10-79
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.125599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q32000
95-th percentile6000
Maximum99000
Range99000
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation2184.262496
Coefficient of variation (CV)1.896165978
Kurtosis197.2132901
Mean1151.936339
Median Absolute Deviation (MAD)0
Skewness7.104819415
Sum1528675967
Variance4771002.65
MonotonicityNot monotonic
2025-05-10T13:44:58.166411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79831691
34.9%
3000 92160
 
3.9%
2000 79436
 
3.3%
7000 50936
 
2.1%
1000 50871
 
2.1%
5000 32851
 
1.4%
4000 32180
 
1.4%
467 22353
 
0.9%
1167 13890
 
0.6%
2333 13639
 
0.6%
Other values (116) 107042
 
4.5%
(Missing) 1052998
44.2%
ValueCountFrequency (%)
5.397605347 × 10-79831691
34.9%
233 13548
 
0.6%
467 22353
 
0.9%
700 13445
 
0.6%
933 13516
 
0.6%
ValueCountFrequency (%)
99000 36
< 0.1%
96000 1
 
< 0.1%
94000 1
 
< 0.1%
90000 3
 
< 0.1%
88000 2
 
< 0.1%

PAMISS1_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean0.7439631645
Minimum5.397605347 × 10-79
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.199189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.397309354
Coefficient of variation (CV)3.222349531
Kurtosis7.864111443
Mean0.7439631645
Median Absolute Deviation (MAD)0
Skewness3.126208001
Sum694288
Variance5.747092139
MonotonicityNot monotonic
2025-05-10T13:44:58.225426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79815117
34.2%
9 72022
 
3.0%
1 46090
 
1.9%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
5.397605347 × 10-79815117
34.2%
1 46090
 
1.9%
9 72022
 
3.0%
ValueCountFrequency (%)
9 72022
 
3.0%
1 46090
 
1.9%
5.397605347 × 10-79815117
34.2%

PAMIN11_
Real number (ℝ)

Missing 

Distinct1144
Distinct (%)0.2%
Missing1777977
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean311.6715698
Minimum5.397605347 × 10-79
Maximum81000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.260127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q190
median180
Q3360
95-th percentile960
Maximum81000
Range81000
Interquartile range (IQR)270

Descriptive statistics

Standard deviation540.7475925
Coefficient of variation (CV)1.734991719
Kurtosis1408.361819
Mean311.6715698
Median Absolute Deviation (MAD)120
Skewness18.39168212
Sum187648102
Variance292407.9588
MonotonicityNot monotonic
2025-05-10T13:44:58.303658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-7937636
 
1.6%
180 35154
 
1.5%
120 33339
 
1.4%
420 28304
 
1.2%
90 28178
 
1.2%
210 28129
 
1.2%
60 28074
 
1.2%
240 25479
 
1.1%
360 23705
 
1.0%
140 15848
 
0.7%
Other values (1134) 318224
 
13.4%
(Missing) 1777977
74.7%
ValueCountFrequency (%)
5.397605347 × 10-7937636
1.6%
2 91
 
< 0.1%
3 149
 
< 0.1%
4 51
 
< 0.1%
5 439
 
< 0.1%
ValueCountFrequency (%)
81000 1
< 0.1%
53460 1
< 0.1%
44925 1
< 0.1%
41625 1
< 0.1%
36480 1
< 0.1%

PAMIN21_
Real number (ℝ)

Missing  Skewed 

Distinct924
Distinct (%)0.2%
Missing1784861
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean177.3636561
Minimum5.397605347 × 10-79
Maximum81000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.346138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median42
Q3180
95-th percentile784
Maximum81000
Range81000
Interquartile range (IQR)180

Descriptive statistics

Standard deviation474.1121265
Coefficient of variation (CV)2.673107541
Kurtosis2142.913168
Mean177.3636561
Median Absolute Deviation (MAD)42
Skewness22.63568729
Sum105564365
Variance224782.3085
MonotonicityNot monotonic
2025-05-10T13:44:58.389486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79257325
 
10.8%
120 28195
 
1.2%
60 22994
 
1.0%
240 18427
 
0.8%
180 18257
 
0.8%
90 13589
 
0.6%
360 12378
 
0.5%
420 12015
 
0.5%
210 11032
 
0.5%
140 9275
 
0.4%
Other values (914) 191699
 
8.1%
(Missing) 1784861
75.0%
ValueCountFrequency (%)
5.397605347 × 10-79257325
10.8%
2 65
 
< 0.1%
3 88
 
< 0.1%
4 75
 
< 0.1%
5 295
 
< 0.1%
ValueCountFrequency (%)
81000 1
< 0.1%
47520 1
< 0.1%
45000 1
< 0.1%
41040 1
< 0.1%
38400 1
< 0.1%

PA1MIN_
Real number (ℝ)

Missing 

Distinct3509
Distinct (%)0.6%
Missing1765150
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean476.8481014
Minimum5.397605347 × 10-79
Maximum81238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.434253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile21
Q1120
median270
Q3540
95-th percentile1660
Maximum81238
Range81238
Interquartile range (IQR)420

Descriptive statistics

Standard deviation751.3836877
Coefficient of variation (CV)1.575729641
Kurtosis737.9637726
Mean476.8481014
Median Absolute Deviation (MAD)180
Skewness13.46398113
Sum293212467
Variance564577.4462
MonotonicityNot monotonic
2025-05-10T13:44:58.477717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 21785
 
0.9%
420 20639
 
0.9%
120 20441
 
0.9%
5.397605347 × 10-7920261
 
0.9%
210 19551
 
0.8%
60 17937
 
0.8%
90 17322
 
0.7%
240 17034
 
0.7%
360 15684
 
0.7%
300 13696
 
0.6%
Other values (3499) 430547
 
18.1%
(Missing) 1765150
74.2%
ValueCountFrequency (%)
5.397605347 × 10-7920261
0.9%
2 75
 
< 0.1%
3 119
 
< 0.1%
4 44
 
< 0.1%
5 349
 
< 0.1%
ValueCountFrequency (%)
81238 1
< 0.1%
81120 1
< 0.1%
54000 1
< 0.1%
49470 1
< 0.1%
47640 1
< 0.1%

PAVIG11_
Real number (ℝ)

Missing 

Distinct720
Distinct (%)0.1%
Missing1768187
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean81.51262871
Minimum5.397605347 × 10-79
Maximum40500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.520660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q380
95-th percentile420
Maximum40500
Range40500
Interquartile range (IQR)80

Descriptive statistics

Standard deviation241.3368244
Coefficient of variation (CV)2.960729254
Kurtosis1623.79307
Mean81.51262871
Median Absolute Deviation (MAD)0
Skewness18.17967879
Sum49874317
Variance58243.4628
MonotonicityNot monotonic
2025-05-10T13:44:58.564362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79419514
 
17.6%
180 15372
 
0.6%
120 13515
 
0.6%
90 10943
 
0.5%
210 10432
 
0.4%
60 9965
 
0.4%
240 7518
 
0.3%
420 7269
 
0.3%
360 6297
 
0.3%
140 6089
 
0.3%
Other values (710) 104946
 
4.4%
(Missing) 1768187
74.3%
ValueCountFrequency (%)
5.397605347 × 10-79419514
17.6%
2 46
 
< 0.1%
3 77
 
< 0.1%
5 162
 
< 0.1%
6 27
 
< 0.1%
ValueCountFrequency (%)
40500 1
< 0.1%
16800 1
< 0.1%
16500 2
< 0.1%
15000 1
< 0.1%
14850 1
< 0.1%

PAVIG21_
Real number (ℝ)

Missing  Skewed 

Distinct567
Distinct (%)0.1%
Missing1777600
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean49.28803696
Minimum5.397605347 × 10-79
Maximum40500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.607146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q311
95-th percentile240
Maximum40500
Range40500
Interquartile range (IQR)11

Descriptive statistics

Standard deviation194.5108339
Coefficient of variation (CV)3.946410648
Kurtosis3919.902924
Mean49.28803696
Median Absolute Deviation (MAD)0
Skewness30.19005954
Sum29693430
Variance37834.46449
MonotonicityNot monotonic
2025-05-10T13:44:58.650204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79448948
 
18.9%
60 14602
 
0.6%
120 12467
 
0.5%
90 9090
 
0.4%
180 8305
 
0.3%
30 5906
 
0.2%
210 4904
 
0.2%
240 4850
 
0.2%
70 4112
 
0.2%
140 3961
 
0.2%
Other values (557) 85302
 
3.6%
(Missing) 1777600
74.7%
ValueCountFrequency (%)
5.397605347 × 10-79448948
18.9%
2 73
 
< 0.1%
3 122
 
< 0.1%
4 2
 
< 0.1%
5 350
 
< 0.1%
ValueCountFrequency (%)
40500 1
< 0.1%
22500 1
< 0.1%
19200 1
< 0.1%
16230 1
< 0.1%
15120 1
< 0.1%

PA1VIGM_
Real number (ℝ)

Missing 

Distinct1862
Distinct (%)0.3%
Missing1762435
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean128.831284
Minimum5.397605347 × 10-79
Maximum40619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.693358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q3140
95-th percentile599
Maximum40619
Range40619
Interquartile range (IQR)140

Descriptive statistics

Standard deviation322.3517254
Coefficient of variation (CV)2.50212305
Kurtosis1028.812598
Mean128.831284
Median Absolute Deviation (MAD)0
Skewness14.99909742
Sum79567747
Variance103910.6349
MonotonicityNot monotonic
2025-05-10T13:44:58.736654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79335915
 
14.1%
120 17501
 
0.7%
60 16564
 
0.7%
180 16385
 
0.7%
90 13380
 
0.6%
210 10141
 
0.4%
240 9608
 
0.4%
420 7638
 
0.3%
360 7496
 
0.3%
140 6423
 
0.3%
Other values (1852) 176561
 
7.4%
(Missing) 1762435
74.1%
ValueCountFrequency (%)
5.397605347 × 10-79335915
14.1%
2 81
 
< 0.1%
3 152
 
< 0.1%
4 2
 
< 0.1%
5 359
 
< 0.1%
ValueCountFrequency (%)
40619 1
< 0.1%
40500 1
< 0.1%
22500 1
< 0.1%
19200 1
< 0.1%
17640 1
< 0.1%

_PACAT1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean3.218367625
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.771497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.412769536
Coefficient of variation (CV)0.7496873624
Kurtosis1.129718405
Mean3.218367625
Median Absolute Deviation (MAD)1
Skewness1.387392189
Sum3003474
Variance5.821456832
MonotonicityNot monotonic
2025-05-10T13:44:58.801752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 276402
 
11.6%
4 243195
 
10.2%
3 153388
 
6.4%
2 149724
 
6.3%
9 110520
 
4.6%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 276402
11.6%
2 149724
6.3%
3 153388
6.4%
4 243195
10.2%
9 110520
 
4.6%
ValueCountFrequency (%)
9 110520
 
4.6%
4 243195
10.2%
3 153388
6.4%
2 149724
6.3%
1 276402
11.6%

_PAINDX1
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.31988933
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.830440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.417086682
Coefficient of variation (CV)1.041897409
Kurtosis3.567631106
Mean2.31988933
Median Absolute Deviation (MAD)1
Skewness2.28502775
Sum2164988
Variance5.84230803
MonotonicityNot monotonic
2025-05-10T13:44:58.859861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 432249
 
18.2%
2 396583
 
16.7%
9 104397
 
4.4%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 432249
18.2%
2 396583
16.7%
9 104397
 
4.4%
ValueCountFrequency (%)
9 104397
 
4.4%
2 396583
16.7%
1 432249
18.2%

_PA150R2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.580484533
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.889627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.422451269
Coefficient of variation (CV)0.9387582984
Kurtosis2.601549969
Mean2.580484533
Median Absolute Deviation (MAD)1
Skewness1.952276922
Sum2408183
Variance5.868270151
MonotonicityNot monotonic
2025-05-10T13:44:58.920410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 432249
 
18.2%
3 243195
 
10.2%
2 153388
 
6.4%
9 104397
 
4.4%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 432249
18.2%
2 153388
 
6.4%
3 243195
10.2%
9 104397
 
4.4%
ValueCountFrequency (%)
9 104397
 
4.4%
3 243195
10.2%
2 153388
 
6.4%
1 432249
18.2%

_PA300R2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.793409763
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:58.950782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.393789691
Coefficient of variation (CV)0.8569418359
Kurtosis2.449335266
Mean2.793409763
Median Absolute Deviation (MAD)1
Skewness1.928010386
Sum2606891
Variance5.730229085
MonotonicityNot monotonic
2025-05-10T13:44:58.981343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 303112
 
12.7%
1 276402
 
11.6%
3 243195
 
10.2%
9 110520
 
4.6%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 276402
11.6%
2 303112
12.7%
3 243195
10.2%
9 110520
 
4.6%
ValueCountFrequency (%)
9 110520
 
4.6%
3 243195
10.2%
2 303112
12.7%
1 276402
11.6%

_PA30021
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.532814561
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.010781image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.411481219
Coefficient of variation (CV)0.9520954499
Kurtosis3.175798965
Mean2.532814561
Median Absolute Deviation (MAD)0
Skewness2.20189775
Sum2363696
Variance5.81524167
MonotonicityNot monotonic
2025-05-10T13:44:59.040686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 546307
 
23.0%
1 276402
 
11.6%
9 110520
 
4.6%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 276402
11.6%
2 546307
23.0%
9 110520
 
4.6%
ValueCountFrequency (%)
9 110520
 
4.6%
2 546307
23.0%
1 276402
11.6%

_PASTRNG
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing940351
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean2.302006118
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.069252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.997105565
Coefficient of variation (CV)0.8675500683
Kurtosis6.944520894
Mean2.302006118
Median Absolute Deviation (MAD)0
Skewness2.881337909
Sum3314189
Variance3.988430637
MonotonicityNot monotonic
2025-05-10T13:44:59.100035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 973317
40.9%
1 353732
 
14.9%
9 112647
 
4.7%
(Missing) 940351
39.5%
ValueCountFrequency (%)
1 353732
 
14.9%
2 973317
40.9%
9 112647
 
4.7%
ValueCountFrequency (%)
9 112647
 
4.7%
2 973317
40.9%
1 353732
 
14.9%

_PAREC1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean3.451050064
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.129638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.336295163
Coefficient of variation (CV)0.6769809535
Kurtosis1.092780722
Mean3.451050064
Median Absolute Deviation (MAD)1
Skewness1.360242325
Sum3220620
Variance5.458275088
MonotonicityNot monotonic
2025-05-10T13:44:59.159364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 327762
 
13.8%
2 270943
 
11.4%
1 156268
 
6.6%
9 112775
 
4.7%
3 65481
 
2.8%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 156268
6.6%
2 270943
11.4%
3 65481
 
2.8%
4 327762
13.8%
9 112775
 
4.7%
ValueCountFrequency (%)
9 112775
 
4.7%
4 327762
13.8%
3 65481
 
2.8%
2 270943
11.4%
1 156268
6.6%

_PASTAE1
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1446818
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2.678458342
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.189037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.372445669
Coefficient of variation (CV)0.8857504451
Kurtosis3.138349163
Mean2.678458342
Median Absolute Deviation (MAD)0
Skewness2.21021665
Sum2499615
Variance5.62849845
MonotonicityNot monotonic
2025-05-10T13:44:59.218341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 664186
27.9%
1 156268
 
6.6%
9 112775
 
4.7%
(Missing) 1446818
60.8%
ValueCountFrequency (%)
1 156268
 
6.6%
2 664186
27.9%
9 112775
 
4.7%
ValueCountFrequency (%)
9 112775
 
4.7%
2 664186
27.9%
1 156268
 
6.6%

_LMTACT1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1452596
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean2.694651254
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.247919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.282045467
Coefficient of variation (CV)0.4757741714
Kurtosis13.12115784
Mean2.694651254
Median Absolute Deviation (MAD)0
Skewness2.805564944
Sum2499157
Variance1.643640581
MonotonicityNot monotonic
2025-05-10T13:44:59.278319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 614223
25.8%
2 145012
 
6.1%
1 143435
 
6.0%
9 24781
 
1.0%
(Missing) 1452596
61.0%
ValueCountFrequency (%)
1 143435
 
6.0%
2 145012
 
6.1%
3 614223
25.8%
9 24781
 
1.0%
ValueCountFrequency (%)
9 24781
 
1.0%
3 614223
25.8%
2 145012
 
6.1%
1 143435
 
6.0%

_LMTWRK1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1452596
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean2.792358842
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.308016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.316081209
Coefficient of variation (CV)0.4713152155
Kurtosis13.52074096
Mean2.792358842
Median Absolute Deviation (MAD)0
Skewness3.133946607
Sum2589776
Variance1.732069749
MonotonicityNot monotonic
2025-05-10T13:44:59.339199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 614223
25.8%
2 191719
 
8.1%
1 91239
 
3.8%
9 30270
 
1.3%
(Missing) 1452596
61.0%
ValueCountFrequency (%)
1 91239
 
3.8%
2 191719
 
8.1%
3 614223
25.8%
9 30270
 
1.3%
ValueCountFrequency (%)
9 30270
 
1.3%
3 614223
25.8%
2 191719
 
8.1%
1 91239
 
3.8%

_LMTSCL1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1452596
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean3.632857154
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.368946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.240098763
Coefficient of variation (CV)0.3413563238
Kurtosis7.866641462
Mean3.632857154
Median Absolute Deviation (MAD)0
Skewness1.449955091
Sum3369297
Variance1.537844941
MonotonicityNot monotonic
2025-05-10T13:44:59.399280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 614223
25.8%
3 164957
 
6.9%
2 69519
 
2.9%
1 53784
 
2.3%
9 24968
 
1.0%
(Missing) 1452596
61.0%
ValueCountFrequency (%)
1 53784
 
2.3%
2 69519
 
2.9%
3 164957
 
6.9%
4 614223
25.8%
9 24968
 
1.0%
ValueCountFrequency (%)
9 24968
 
1.0%
4 614223
25.8%
3 164957
 
6.9%
2 69519
 
2.9%
1 53784
 
2.3%

_RFSEAT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57084755
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.428161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.963117068
Coefficient of variation (CV)1.249718388
Kurtosis10.22405659
Mean1.57084755
Median Absolute Deviation (MAD)0
Skewness3.471624675
Sum3738691
Variance3.853828624
MonotonicityNot monotonic
2025-05-10T13:44:59.457478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2095056
88.0%
9 153379
 
6.4%
2 131612
 
5.5%
ValueCountFrequency (%)
1 2095056
88.0%
2 131612
 
5.5%
9 153379
 
6.4%
ValueCountFrequency (%)
9 153379
 
6.4%
2 131612
 
5.5%
1 2095056
88.0%

_RFSEAT3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.644986423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.487969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.959037246
Coefficient of variation (CV)1.19091393
Kurtosis9.813581768
Mean1.644986423
Median Absolute Deviation (MAD)0
Skewness3.382385322
Sum3915145
Variance3.83782693
MonotonicityNot monotonic
2025-05-10T13:44:59.517589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1918602
80.6%
2 308066
 
12.9%
9 153379
 
6.4%
ValueCountFrequency (%)
1 1918602
80.6%
2 308066
 
12.9%
9 153379
 
6.4%
ValueCountFrequency (%)
9 153379
 
6.4%
2 308066
 
12.9%
1 1918602
80.6%

_FLSHOT6
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1891894
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean2.148416583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.546652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.337680727
Coefficient of variation (CV)1.088094714
Kurtosis4.458274427
Mean2.148416583
Median Absolute Deviation (MAD)0
Skewness2.467605278
Sum1048756
Variance5.464751181
MonotonicityNot monotonic
2025-05-10T13:44:59.576827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 271404
 
11.4%
2 167627
 
7.0%
9 49122
 
2.1%
(Missing) 1891894
79.5%
ValueCountFrequency (%)
1 271404
11.4%
2 167627
7.0%
9 49122
 
2.1%
ValueCountFrequency (%)
9 49122
 
2.1%
2 167627
7.0%
1 271404
11.4%

_PNEUMO2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1569279
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean2.249919829
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.605594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.573125641
Coefficient of variation (CV)1.143652146
Kurtosis2.897763836
Mean2.249919829
Median Absolute Deviation (MAD)0
Skewness2.164187205
Sum1824163
Variance6.620975564
MonotonicityNot monotonic
2025-05-10T13:44:59.637033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 500040
 
21.0%
2 210347
 
8.8%
9 100381
 
4.2%
(Missing) 1569279
65.9%
ValueCountFrequency (%)
1 500040
21.0%
2 210347
8.8%
9 100381
 
4.2%
ValueCountFrequency (%)
9 100381
 
4.2%
2 210347
8.8%
1 500040
21.0%

_AIDTST3
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing165813
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1.971081647
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.667461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.434690337
Coefficient of variation (CV)0.7278695629
Kurtosis17.94675599
Mean1.971081647
Median Absolute Deviation (MAD)0
Skewness4.175719359
Sum4364436
Variance2.058336363
MonotonicityNot monotonic
2025-05-10T13:44:59.696919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1507994
63.4%
1 625964
26.3%
9 80276
 
3.4%
(Missing) 165813
 
7.0%
ValueCountFrequency (%)
1 625964
26.3%
2 1507994
63.4%
9 80276
 
3.4%
ValueCountFrequency (%)
9 80276
 
3.4%
2 1507994
63.4%
1 625964
26.3%

year
Text

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-10T13:44:59.731218image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters9520188
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015
ValueCountFrequency (%)
2011 506467
21.3%
2013 491773
20.7%
2012 475687
20.0%
2014 464664
19.5%
2015 441456
18.5%
2025-05-10T13:44:59.797981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

SLEPTIM1
Real number (ℝ)

Missing 

Distinct26
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean8.108411741
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.015514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.819305193
Coefficient of variation (CV)1.087673576
Kurtosis63.52007313
Mean8.108411741
Median Absolute Deviation (MAD)1
Skewness7.926648054
Sum7755185
Variance77.78014409
MonotonicityNot monotonic
2025-05-10T13:45:00.050612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7 282028
 
11.8%
8 276748
 
11.6%
6 203874
 
8.6%
5 63349
 
2.7%
9 46434
 
2.0%
4 26692
 
1.1%
10 22922
 
1.0%
77 12277
 
0.5%
12 6761
 
0.3%
3 6578
 
0.3%
Other values (16) 8774
 
0.4%
(Missing) 1423610
59.8%
ValueCountFrequency (%)
1 502
 
< 0.1%
2 2034
 
0.1%
3 6578
 
0.3%
4 26692
1.1%
5 63349
2.7%
ValueCountFrequency (%)
99 1587
 
0.1%
77 12277
0.5%
24 70
 
< 0.1%
23 13
 
< 0.1%
22 20
 
< 0.1%

LASTDEN3
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing1439696
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean1.732563692
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.080006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.271621552
Coefficient of variation (CV)0.7339537117
Kurtosis5.155256686
Mean1.732563692
Median Absolute Deviation (MAD)0
Skewness2.070312825
Sum1629218
Variance1.617021372
MonotonicityNot monotonic
2025-05-10T13:45:00.112535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 633348
26.6%
4 108981
 
4.6%
2 97570
 
4.1%
3 86372
 
3.6%
7 7824
 
0.3%
8 5382
 
0.2%
9 874
 
< 0.1%
(Missing) 1439696
60.5%
ValueCountFrequency (%)
1 633348
26.6%
2 97570
 
4.1%
3 86372
 
3.6%
4 108981
 
4.6%
7 7824
 
0.3%
ValueCountFrequency (%)
9 874
 
< 0.1%
8 5382
 
0.2%
7 7824
 
0.3%
4 108981
4.6%
3 86372
3.6%

RMVTETH3
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1439696
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean4.692557354
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.143663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.251294551
Coefficient of variation (CV)0.6928619739
Kurtosis-1.914669289
Mean4.692557354
Median Absolute Deviation (MAD)2
Skewness-0.0262200421
Sum4412651
Variance10.57091626
MonotonicityNot monotonic
2025-05-10T13:45:00.173769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 438528
 
18.4%
1 285883
 
12.0%
2 123444
 
5.2%
3 70095
 
2.9%
7 20119
 
0.8%
9 2282
 
0.1%
(Missing) 1439696
60.5%
ValueCountFrequency (%)
1 285883
12.0%
2 123444
 
5.2%
3 70095
 
2.9%
7 20119
 
0.8%
8 438528
18.4%
ValueCountFrequency (%)
9 2282
 
0.1%
8 438528
18.4%
7 20119
 
0.8%
3 70095
 
2.9%
2 123444
 
5.2%

FALL12MN
Real number (ℝ)

Missing 

Distinct61
Distinct (%)< 0.1%
Missing1720640
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean63.89467203
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.213280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation38.47247352
Coefficient of variation (CV)0.602123343
Kurtosis-1.035757445
Mean63.89467203
Median Absolute Deviation (MAD)0
Skewness-0.975074618
Sum42132594
Variance1480.131219
MonotonicityNot monotonic
2025-05-10T13:45:00.254141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 463760
 
19.5%
1 95536
 
4.0%
2 43023
 
1.8%
3 18599
 
0.8%
4 8453
 
0.4%
77 5801
 
0.2%
5 5547
 
0.2%
6 4479
 
0.2%
99 3524
 
0.1%
10 2275
 
0.1%
Other values (51) 8410
 
0.4%
(Missing) 1720640
72.3%
ValueCountFrequency (%)
1 95536
4.0%
2 43023
1.8%
3 18599
 
0.8%
4 8453
 
0.4%
5 5547
 
0.2%
ValueCountFrequency (%)
99 3524
 
0.1%
88 463760
19.5%
77 5801
 
0.2%
76 531
 
< 0.1%
75 20
 
< 0.1%

FALLINJ2
Real number (ℝ)

Missing 

Distinct56
Distinct (%)< 0.1%
Missing2193788
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean54.58608712
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.294194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)87

Descriptive statistics

Standard deviation41.99822595
Coefficient of variation (CV)0.7693943305
Kurtosis-1.777417842
Mean54.58608712
Median Absolute Deviation (MAD)0
Skewness-0.4660463968
Sum10167150
Variance1763.850983
MonotonicityNot monotonic
2025-05-10T13:45:00.336471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 112990
 
4.7%
1 51648
 
2.2%
2 10861
 
0.5%
3 4080
 
0.2%
4 1809
 
0.1%
5 1104
 
< 0.1%
77 803
 
< 0.1%
6 766
 
< 0.1%
10 439
 
< 0.1%
99 247
 
< 0.1%
Other values (46) 1512
 
0.1%
(Missing) 2193788
92.2%
ValueCountFrequency (%)
1 51648
2.2%
2 10861
 
0.5%
3 4080
 
0.2%
4 1809
 
0.1%
5 1104
 
< 0.1%
ValueCountFrequency (%)
99 247
 
< 0.1%
88 112990
4.7%
77 803
 
< 0.1%
76 76
 
< 0.1%
75 2
 
< 0.1%

DRNKDRI2
Real number (ℝ)

Missing 

Distinct36
Distinct (%)< 0.1%
Missing1923018
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean85.71302915
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.377146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.20473793
Coefficient of variation (CV)0.165724372
Kurtosis30.45521641
Mean85.71302915
Median Absolute Deviation (MAD)0
Skewness-5.663136505
Sum39173340
Variance201.7745797
MonotonicityNot monotonic
2025-05-10T13:45:00.415154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
88 438245
 
18.4%
1 7343
 
0.3%
99 5253
 
0.2%
2 2953
 
0.1%
3 805
 
< 0.1%
77 730
 
< 0.1%
4 444
 
< 0.1%
5 383
 
< 0.1%
8 212
 
< 0.1%
10 152
 
< 0.1%
Other values (26) 509
 
< 0.1%
(Missing) 1923018
80.8%
ValueCountFrequency (%)
1 7343
0.3%
2 2953
0.1%
3 805
 
< 0.1%
4 444
 
< 0.1%
5 383
 
< 0.1%
ValueCountFrequency (%)
99 5253
 
0.2%
88 438245
18.4%
77 730
 
< 0.1%
76 1
 
< 0.1%
70 1
 
< 0.1%

MEDICARE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1764403
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean1.615592778
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.446501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.720254459
Coefficient of variation (CV)0.4458143593
Kurtosis36.5217331
Mean1.615592778
Median Absolute Deviation (MAD)0
Skewness4.31187544
Sum994630
Variance0.5187664857
MonotonicityNot monotonic
2025-05-10T13:45:00.477389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 347976
 
14.6%
1 262888
 
11.0%
7 3615
 
0.2%
9 1165
 
< 0.1%
(Missing) 1764403
74.1%
ValueCountFrequency (%)
1 262888
11.0%
2 347976
14.6%
7 3615
 
0.2%
9 1165
 
< 0.1%
ValueCountFrequency (%)
9 1165
 
< 0.1%
7 3615
 
0.2%
2 347976
14.6%
1 262888
11.0%

HLTHCVR1
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing2073968
Missing (%)87.1%
Infinite0
Infinite (%)0.0%
Mean3.644088618
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.511576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.88255628
Coefficient of variation (CV)2.986358846
Kurtosis54.15680282
Mean3.644088618
Median Absolute Deviation (MAD)1
Skewness7.35899749
Sum1115379
Variance118.4300312
MonotonicityNot monotonic
2025-05-10T13:45:00.544093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 141289
 
5.9%
3 86638
 
3.6%
2 33062
 
1.4%
4 19457
 
0.8%
5 9905
 
0.4%
7 7713
 
0.3%
77 3648
 
0.2%
99 1690
 
0.1%
6 1457
 
0.1%
8 1220
 
0.1%
(Missing) 2073968
87.1%
ValueCountFrequency (%)
1 141289
5.9%
2 33062
 
1.4%
3 86638
3.6%
4 19457
 
0.8%
5 9905
 
0.4%
ValueCountFrequency (%)
99 1690
 
0.1%
77 3648
0.2%
8 1220
 
0.1%
7 7713
0.3%
6 1457
 
0.1%

DELAYMED
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing1705213
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean7.281205452
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.575040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.738596402
Coefficient of variation (CV)0.2387786492
Kurtosis4.035878745
Mean7.281205452
Median Absolute Deviation (MAD)0
Skewness-2.327213379
Sum4913605
Variance3.02271745
MonotonicityNot monotonic
2025-05-10T13:45:00.606429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 555904
 
23.4%
2 36438
 
1.5%
6 27156
 
1.1%
5 23475
 
1.0%
3 17364
 
0.7%
1 5018
 
0.2%
4 4491
 
0.2%
7 3390
 
0.1%
9 1598
 
0.1%
(Missing) 1705213
71.6%
ValueCountFrequency (%)
1 5018
 
0.2%
2 36438
1.5%
3 17364
0.7%
4 4491
 
0.2%
5 23475
1.0%
ValueCountFrequency (%)
9 1598
 
0.1%
8 555904
23.4%
7 3390
 
0.1%
6 27156
 
1.1%
5 23475
 
1.0%

DLYOTHER
Text

Missing 

Distinct17660
Distinct (%)1.8%
Missing1423610
Missing (%)59.8%
Memory size18.2 MiB
2025-05-10T13:45:00.683971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length31
Median length3
Mean length3.47421733
Min length3

Characters and Unicode

Total characters3322870
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16001 ?
Unique (%)1.7%

Sample

1st rowb'money'
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 929782
91.3%
to 3593
 
0.4%
b'no 2435
 
0.2%
of 1798
 
0.2%
not 1662
 
0.2%
b'cost 1638
 
0.2%
time 1621
 
0.2%
t 1548
 
0.2%
have 1437
 
0.1%
insurance 1304
 
0.1%
Other values (7351) 71116
 
7.0%
2025-05-10T13:45:00.810008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1911077
57.5%
b 959886
28.9%
61711
 
1.9%
o 32562
 
1.0%
e 29791
 
0.9%
t 28267
 
0.9%
n 24695
 
0.7%
a 20989
 
0.6%
i 18687
 
0.6%
s 15690
 
0.5%
Other values (81) 219515
 
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3322870
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1911077
57.5%
b 959886
28.9%
61711
 
1.9%
o 32562
 
1.0%
e 29791
 
0.9%
t 28267
 
0.9%
n 24695
 
0.7%
a 20989
 
0.6%
i 18687
 
0.6%
s 15690
 
0.5%
Other values (81) 219515
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3322870
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1911077
57.5%
b 959886
28.9%
61711
 
1.9%
o 32562
 
1.0%
e 29791
 
0.9%
t 28267
 
0.9%
n 24695
 
0.7%
a 20989
 
0.6%
i 18687
 
0.6%
s 15690
 
0.5%
Other values (81) 219515
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3322870
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1911077
57.5%
b 959886
28.9%
61711
 
1.9%
o 32562
 
1.0%
e 29791
 
0.9%
t 28267
 
0.9%
n 24695
 
0.7%
a 20989
 
0.6%
i 18687
 
0.6%
s 15690
 
0.5%
Other values (81) 219515
 
6.6%

NOCOV121
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1769180
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean1.961004605
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.850496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3689910501
Coefficient of variation (CV)0.1881642956
Kurtosis182.3589719
Mean1.961004605
Median Absolute Deviation (MAD)0
Skewness9.661405228
Sum1197913
Variance0.1361543951
MonotonicityNot monotonic
2025-05-10T13:45:00.881243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 576974
 
24.2%
1 32421
 
1.4%
7 852
 
< 0.1%
9 620
 
< 0.1%
(Missing) 1769180
74.3%
ValueCountFrequency (%)
1 32421
 
1.4%
2 576974
24.2%
7 852
 
< 0.1%
9 620
 
< 0.1%
ValueCountFrequency (%)
9 620
 
< 0.1%
7 852
 
< 0.1%
2 576974
24.2%
1 32421
 
1.4%

LSTCOVRG
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2315936
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean3.635507167
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.912203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.639601796
Coefficient of variation (CV)0.4509967167
Kurtosis1.135059431
Mean3.635507167
Median Absolute Deviation (MAD)1
Skewness0.5356666246
Sum233076
Variance2.688294049
MonotonicityNot monotonic
2025-05-10T13:45:00.943099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 24366
 
1.0%
3 11971
 
0.5%
5 9263
 
0.4%
1 8735
 
0.4%
2 5237
 
0.2%
7 3338
 
0.1%
9 1201
 
0.1%
(Missing) 2315936
97.3%
ValueCountFrequency (%)
1 8735
 
0.4%
2 5237
 
0.2%
3 11971
0.5%
4 24366
1.0%
5 9263
 
0.4%
ValueCountFrequency (%)
9 1201
 
0.1%
7 3338
 
0.1%
5 9263
 
0.4%
4 24366
1.0%
3 11971
0.5%

DRVISITS
Real number (ℝ)

Missing 

Distinct79
Distinct (%)< 0.1%
Missing1705061
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean16.57504304
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:00.982443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q310
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation28.46799086
Coefficient of variation (CV)1.717521384
Kurtosis1.958742958
Mean16.57504304
Median Absolute Deviation (MAD)2
Skewness1.931638351
Sum11187922
Variance810.4265033
MonotonicityNot monotonic
2025-05-10T13:45:01.025074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 114896
 
4.8%
1 104588
 
4.4%
3 88444
 
3.7%
4 74191
 
3.1%
88 67805
 
2.8%
6 42103
 
1.8%
5 37845
 
1.6%
12 24275
 
1.0%
77 21878
 
0.9%
10 20550
 
0.9%
Other values (69) 78411
 
3.3%
(Missing) 1705061
71.6%
ValueCountFrequency (%)
1 104588
4.4%
2 114896
4.8%
3 88444
3.7%
4 74191
3.1%
5 37845
 
1.6%
ValueCountFrequency (%)
99 1871
 
0.1%
88 67805
2.8%
77 21878
 
0.9%
76 1970
 
0.1%
75 191
 
< 0.1%

MEDSCOST
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1705081
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean2.018162396
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.058922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4737497426
Coefficient of variation (CV)0.2347431225
Kurtosis47.16126501
Mean2.018162396
Median Absolute Deviation (MAD)0
Skewness3.635981705
Sum1362191
Variance0.2244388186
MonotonicityNot monotonic
2025-05-10T13:45:01.090166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 566407
 
23.8%
3 55873
 
2.3%
1 51317
 
2.2%
7 940
 
< 0.1%
9 429
 
< 0.1%
(Missing) 1705081
71.6%
ValueCountFrequency (%)
1 51317
 
2.2%
2 566407
23.8%
3 55873
 
2.3%
7 940
 
< 0.1%
9 429
 
< 0.1%
ValueCountFrequency (%)
9 429
 
< 0.1%
7 940
 
< 0.1%
3 55873
 
2.3%
2 566407
23.8%
1 51317
 
2.2%

CARERCVD
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1705097
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.552177198
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.121502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249311262
Coefficient of variation (CV)0.8048767007
Kurtosis18.29163709
Mean1.552177198
Median Absolute Deviation (MAD)0
Skewness4.090134251
Sum1047642
Variance1.56077863
MonotonicityNot monotonic
2025-05-10T13:45:01.153587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 445255
 
18.7%
2 187477
 
7.9%
3 21639
 
0.9%
8 14121
 
0.6%
7 4287
 
0.2%
9 2171
 
0.1%
(Missing) 1705097
71.6%
ValueCountFrequency (%)
1 445255
18.7%
2 187477
7.9%
3 21639
 
0.9%
7 4287
 
0.2%
8 14121
 
0.6%
ValueCountFrequency (%)
9 2171
 
0.1%
8 14121
 
0.6%
7 4287
 
0.2%
3 21639
 
0.9%
2 187477
7.9%

MEDBILL1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2048307
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.862989088
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.186013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6036877099
Coefficient of variation (CV)0.3240425367
Kurtosis50.57991311
Mean1.862989088
Median Absolute Deviation (MAD)0
Skewness5.058584514
Sum618028
Variance0.3644388511
MonotonicityNot monotonic
2025-05-10T13:45:01.219952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 271022
 
11.4%
1 58285
 
2.4%
7 2099
 
0.1%
9 334
 
< 0.1%
(Missing) 2048307
86.1%
ValueCountFrequency (%)
1 58285
 
2.4%
2 271022
11.4%
7 2099
 
0.1%
9 334
 
< 0.1%
ValueCountFrequency (%)
9 334
 
< 0.1%
7 2099
 
0.1%
2 271022
11.4%
1 58285
 
2.4%

ASBIALCH
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2295846
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean1.821581691
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.251199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.856722465
Coefficient of variation (CV)1.019291352
Kurtosis5.658916532
Mean1.821581691
Median Absolute Deviation (MAD)0
Skewness2.636837946
Sum153379
Variance3.447418311
MonotonicityNot monotonic
2025-05-10T13:45:01.281559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 57833
 
2.4%
2 18408
 
0.8%
7 6455
 
0.3%
9 1505
 
0.1%
(Missing) 2295846
96.5%
ValueCountFrequency (%)
1 57833
2.4%
2 18408
 
0.8%
7 6455
 
0.3%
9 1505
 
0.1%
ValueCountFrequency (%)
9 1505
 
0.1%
7 6455
 
0.3%
2 18408
 
0.8%
1 57833
2.4%

ASBIDRNK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2295886
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean1.905609487
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.312029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.836833225
Coefficient of variation (CV)0.9639085224
Kurtosis5.616504449
Mean1.905609487
Median Absolute Deviation (MAD)0
Skewness2.599396016
Sum160378
Variance3.373956295
MonotonicityNot monotonic
2025-05-10T13:45:01.341515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 50400
 
2.1%
2 25899
 
1.1%
7 6289
 
0.3%
9 1573
 
0.1%
(Missing) 2295886
96.5%
ValueCountFrequency (%)
1 50400
2.1%
2 25899
1.1%
7 6289
 
0.3%
9 1573
 
0.1%
ValueCountFrequency (%)
9 1573
 
0.1%
7 6289
 
0.3%
2 25899
1.1%
1 50400
2.1%

ASBIBING
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2295932
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean2.734613327
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.372241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.204553531
Coefficient of variation (CV)0.8061664549
Kurtosis0.7202258821
Mean2.734613327
Median Absolute Deviation (MAD)0
Skewness1.523908663
Sum230022
Variance4.860056272
MonotonicityNot monotonic
2025-05-10T13:45:01.403490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 47907
 
2.0%
1 20416
 
0.9%
7 14168
 
0.6%
9 1624
 
0.1%
(Missing) 2295932
96.5%
ValueCountFrequency (%)
1 20416
0.9%
2 47907
2.0%
7 14168
 
0.6%
9 1624
 
0.1%
ValueCountFrequency (%)
9 1624
 
0.1%
7 14168
 
0.6%
2 47907
2.0%
1 20416
0.9%

ASBIADVC
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2299104
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean2.041881324
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.435536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.169538032
Coefficient of variation (CV)0.5727747338
Kurtosis14.89163119
Mean2.041881324
Median Absolute Deviation (MAD)0
Skewness3.725714811
Sum165276
Variance1.367819208
MonotonicityNot monotonic
2025-05-10T13:45:01.465795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 62511
 
2.6%
1 14902
 
0.6%
7 3209
 
0.1%
9 321
 
< 0.1%
(Missing) 2299104
96.6%
ValueCountFrequency (%)
1 14902
 
0.6%
2 62511
2.6%
7 3209
 
0.1%
9 321
 
< 0.1%
ValueCountFrequency (%)
9 321
 
< 0.1%
7 3209
 
0.1%
2 62511
2.6%
1 14902
 
0.6%

ASBIRDUC
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2316123
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean2.015049121
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.495235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7482127566
Coefficient of variation (CV)0.3713124156
Kurtosis53.21491557
Mean2.015049121
Median Absolute Deviation (MAD)0
Skewness6.710085621
Sum128810
Variance0.5598223291
MonotonicityNot monotonic
2025-05-10T13:45:01.527098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 58484
 
2.5%
1 4472
 
0.2%
7 671
 
< 0.1%
9 297
 
< 0.1%
(Missing) 2316123
97.3%
ValueCountFrequency (%)
1 4472
 
0.2%
2 58484
2.5%
7 671
 
< 0.1%
9 297
 
< 0.1%
ValueCountFrequency (%)
9 297
 
< 0.1%
7 671
 
< 0.1%
2 58484
2.5%
1 4472
 
0.2%

CNCRDIFF
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2365574
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.329510122
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.557403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9690328958
Coefficient of variation (CV)0.7288646243
Kurtosis33.92782575
Mean1.329510122
Median Absolute Deviation (MAD)0
Skewness5.332265561
Sum19242
Variance0.9390247531
MonotonicityNot monotonic
2025-05-10T13:45:01.589812image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 11519
 
0.5%
2 2273
 
0.1%
3 443
 
< 0.1%
7 147
 
< 0.1%
9 91
 
< 0.1%
(Missing) 2365574
99.4%
ValueCountFrequency (%)
1 11519
0.5%
2 2273
 
0.1%
3 443
 
< 0.1%
7 147
 
< 0.1%
9 91
 
< 0.1%
ValueCountFrequency (%)
9 91
 
< 0.1%
7 147
 
< 0.1%
3 443
 
< 0.1%
2 2273
 
0.1%
1 11519
0.5%

CNCRAGE
Real number (ℝ)

Missing 

Distinct99
Distinct (%)0.7%
Missing2365813
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean57.20106787
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.629392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26
Q146
median58
Q368
95-th percentile87
Maximum99
Range98
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.83930736
Coefficient of variation (CV)0.3118701804
Kurtosis0.1240146628
Mean57.20106787
Median Absolute Deviation (MAD)11
Skewness-0.01043068623
Sum814200
Variance318.2408869
MonotonicityNot monotonic
2025-05-10T13:45:01.670636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 703
 
< 0.1%
50 700
 
< 0.1%
55 582
 
< 0.1%
65 579
 
< 0.1%
98 578
 
< 0.1%
70 532
 
< 0.1%
40 432
 
< 0.1%
45 400
 
< 0.1%
62 365
 
< 0.1%
58 330
 
< 0.1%
Other values (89) 9033
 
0.4%
(Missing) 2365813
99.4%
ValueCountFrequency (%)
1 11
< 0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 9
< 0.1%
ValueCountFrequency (%)
99 55
 
< 0.1%
98 578
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%

CNCRTYP1
Real number (ℝ)

Missing 

Distinct32
Distinct (%)0.2%
Missing2365901
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean19.30899194
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.707836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median21
Q322
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.84384941
Coefficient of variation (CV)0.872331889
Kurtosis6.50521011
Mean19.30899194
Median Absolute Deviation (MAD)2
Skewness2.199761608
Sum273145
Variance283.7152631
MonotonicityNot monotonic
2025-05-10T13:45:01.745490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22 4264
 
0.2%
1 2145
 
0.1%
21 1776
 
0.1%
19 1125
 
< 0.1%
77 679
 
< 0.1%
30 644
 
< 0.1%
2 638
 
< 0.1%
10 610
 
< 0.1%
3 290
 
< 0.1%
24 260
 
< 0.1%
Other values (22) 1715
 
0.1%
(Missing) 2365901
99.4%
ValueCountFrequency (%)
1 2145
0.1%
2 638
 
< 0.1%
3 290
 
< 0.1%
4 207
 
< 0.1%
5 34
 
< 0.1%
ValueCountFrequency (%)
99 73
 
< 0.1%
77 679
< 0.1%
30 644
< 0.1%
29 8
 
< 0.1%
28 34
 
< 0.1%

CSRVTRT1
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2366129
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.434329645
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.775978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3941923
Coefficient of variation (CV)0.5727212431
Kurtosis6.632751964
Mean2.434329645
Median Absolute Deviation (MAD)0
Skewness2.515195826
Sum33881
Variance1.94377217
MonotonicityNot monotonic
2025-05-10T13:45:01.807354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 9996
 
0.4%
4 1593
 
0.1%
1 1371
 
0.1%
7 650
 
< 0.1%
3 196
 
< 0.1%
9 112
 
< 0.1%
(Missing) 2366129
99.4%
ValueCountFrequency (%)
1 1371
 
0.1%
2 9996
0.4%
3 196
 
< 0.1%
4 1593
 
0.1%
7 650
 
< 0.1%
ValueCountFrequency (%)
9 112
 
< 0.1%
7 650
 
< 0.1%
4 1593
 
0.1%
3 196
 
< 0.1%
2 9996
0.4%

CSRVDOC1
Real number (ℝ)

Missing 

Distinct12
Distinct (%)0.1%
Missing2370056
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean6.28365529
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.839990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q35
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.23975587
Coefficient of variation (CV)1.947871948
Kurtosis30.82985647
Mean6.28365529
Median Absolute Deviation (MAD)3
Skewness5.550059637
Sum62780
Variance149.8116237
MonotonicityNot monotonic
2025-05-10T13:45:01.871510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4138
 
0.2%
5 3066
 
0.1%
10 1236
 
0.1%
7 302
 
< 0.1%
1 297
 
< 0.1%
4 243
 
< 0.1%
77 241
 
< 0.1%
3 165
 
< 0.1%
9 154
 
< 0.1%
8 73
 
< 0.1%
Other values (2) 76
 
< 0.1%
(Missing) 2370056
99.6%
ValueCountFrequency (%)
1 297
 
< 0.1%
2 4138
0.2%
3 165
 
< 0.1%
4 243
 
< 0.1%
5 3066
0.1%
ValueCountFrequency (%)
99 21
 
< 0.1%
77 241
 
< 0.1%
10 1236
0.1%
9 154
 
< 0.1%
8 73
 
< 0.1%

CSRVSUM
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370061
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.993390747
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.898924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.438004926
Coefficient of variation (CV)0.7213863753
Kurtosis7.817729474
Mean1.993390747
Median Absolute Deviation (MAD)0
Skewness2.867926183
Sum19906
Variance2.067858166
MonotonicityNot monotonic
2025-05-10T13:45:01.929161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 5874
 
0.2%
1 3445
 
0.1%
7 645
 
< 0.1%
9 22
 
< 0.1%
(Missing) 2370061
99.6%
ValueCountFrequency (%)
1 3445
0.1%
2 5874
0.2%
7 645
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
9 22
 
< 0.1%
7 645
 
< 0.1%
2 5874
0.2%
1 3445
0.1%

CSRVRTRN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370067
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.44258517
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:01.958079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.005850274
Coefficient of variation (CV)0.6972553818
Kurtosis23.58723151
Mean1.44258517
Median Absolute Deviation (MAD)0
Skewness4.502319135
Sum14397
Variance1.011734773
MonotonicityNot monotonic
2025-05-10T13:45:01.988123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6791
 
0.3%
2 2951
 
0.1%
7 219
 
< 0.1%
9 19
 
< 0.1%
(Missing) 2370067
99.6%
ValueCountFrequency (%)
1 6791
0.3%
2 2951
0.1%
7 219
 
< 0.1%
9 19
 
< 0.1%
ValueCountFrequency (%)
9 19
 
< 0.1%
7 219
 
< 0.1%
2 2951
0.1%
1 6791
0.3%

CSRVINST
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2373261
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1.745947539
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.018294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.639059599
Coefficient of variation (CV)0.9387794089
Kurtosis5.878426796
Mean1.745947539
Median Absolute Deviation (MAD)0
Skewness2.687555231
Sum11848
Variance2.686516368
MonotonicityNot monotonic
2025-05-10T13:45:02.048757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 4543
 
0.2%
2 1680
 
0.1%
7 561
 
< 0.1%
9 2
 
< 0.1%
(Missing) 2373261
99.7%
ValueCountFrequency (%)
1 4543
0.2%
2 1680
 
0.1%
7 561
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 561
 
< 0.1%
2 1680
 
0.1%
1 4543
0.2%

CSRVINSR
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370105
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.151478576
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.079028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8033648971
Coefficient of variation (CV)0.6976811502
Kurtosis50.54603602
Mean1.151478576
Median Absolute Deviation (MAD)0
Skewness6.981582148
Sum11448
Variance0.6453951579
MonotonicityNot monotonic
2025-05-10T13:45:02.109056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 9262
 
0.4%
2 520
 
< 0.1%
7 147
 
< 0.1%
9 13
 
< 0.1%
(Missing) 2370105
99.6%
ValueCountFrequency (%)
1 9262
0.4%
2 520
 
< 0.1%
7 147
 
< 0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
7 147
 
< 0.1%
2 520
 
< 0.1%
1 9262
0.4%

CSRVDEIN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370081
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.982239615
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.138333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5710753768
Coefficient of variation (CV)0.2880960367
Kurtosis71.84623018
Mean1.982239615
Median Absolute Deviation (MAD)0
Skewness7.292867899
Sum19755
Variance0.326127086
MonotonicityNot monotonic
2025-05-10T13:45:02.169108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 9209
 
0.4%
1 664
 
< 0.1%
7 82
 
< 0.1%
9 11
 
< 0.1%
(Missing) 2370081
99.6%
ValueCountFrequency (%)
1 664
 
< 0.1%
2 9209
0.4%
7 82
 
< 0.1%
9 11
 
< 0.1%
ValueCountFrequency (%)
9 11
 
< 0.1%
7 82
 
< 0.1%
2 9209
0.4%
1 664
 
< 0.1%

CSRVCLIN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370084
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean2.060022082
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.198399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7910680606
Coefficient of variation (CV)0.3840095053
Kurtosis39.25307895
Mean2.060022082
Median Absolute Deviation (MAD)0
Skewness5.987347756
Sum20524
Variance0.6257886765
MonotonicityNot monotonic
2025-05-10T13:45:02.229175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 9261
 
0.4%
1 493
 
< 0.1%
7 186
 
< 0.1%
9 23
 
< 0.1%
(Missing) 2370084
99.6%
ValueCountFrequency (%)
1 493
 
< 0.1%
2 9261
0.4%
7 186
 
< 0.1%
9 23
 
< 0.1%
ValueCountFrequency (%)
9 23
 
< 0.1%
7 186
 
< 0.1%
2 9261
0.4%
1 493
 
< 0.1%

CSRVPAIN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2370084
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.982836495
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.258563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5896845512
Coefficient of variation (CV)0.2973944411
Kurtosis71.86165673
Mean1.982836495
Median Absolute Deviation (MAD)0
Skewness7.336556475
Sum19755
Variance0.34772787
MonotonicityNot monotonic
2025-05-10T13:45:02.288704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 9184
 
0.4%
1 683
 
< 0.1%
7 80
 
< 0.1%
9 16
 
< 0.1%
(Missing) 2370084
99.6%
ValueCountFrequency (%)
1 683
 
< 0.1%
2 9184
0.4%
7 80
 
< 0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
7 80
 
< 0.1%
2 9184
0.4%
1 683
 
< 0.1%

CSRVCTL1
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.9%
Missing2379364
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.941434846
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.319736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.106934549
Coefficient of variation (CV)0.5701631201
Kurtosis6.577129378
Mean1.941434846
Median Absolute Deviation (MAD)1
Skewness2.041569249
Sum1326
Variance1.225304097
MonotonicityNot monotonic
2025-05-10T13:45:02.350589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 289
 
< 0.1%
1 268
 
< 0.1%
4 60
 
< 0.1%
3 56
 
< 0.1%
7 9
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2379364
> 99.9%
ValueCountFrequency (%)
1 268
< 0.1%
2 289
< 0.1%
3 56
 
< 0.1%
4 60
 
< 0.1%
7 9
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 9
 
< 0.1%
4 60
 
< 0.1%
3 56
 
< 0.1%
2 289
< 0.1%

RRCLASS2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2325349
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.521280486
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.381936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.427221898
Coefficient of variation (CV)0.9381714365
Kurtosis11.42315998
Mean1.521280486
Median Absolute Deviation (MAD)0
Skewness3.355520828
Sum83211
Variance2.036962347
MonotonicityNot monotonic
2025-05-10T13:45:02.413290image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 45002
 
1.9%
3 3943
 
0.2%
2 2475
 
0.1%
6 1296
 
0.1%
7 500
 
< 0.1%
4 475
 
< 0.1%
8 461
 
< 0.1%
9 459
 
< 0.1%
5 87
 
< 0.1%
(Missing) 2325349
97.7%
ValueCountFrequency (%)
1 45002
1.9%
2 2475
 
0.1%
3 3943
 
0.2%
4 475
 
< 0.1%
5 87
 
< 0.1%
ValueCountFrequency (%)
9 459
 
< 0.1%
8 461
 
< 0.1%
7 500
 
< 0.1%
6 1296
0.1%
5 87
 
< 0.1%

RRCOGNT2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2325383
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean2.179880726
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.444002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.992348722
Coefficient of variation (CV)0.9139714381
Kurtosis2.44299708
Mean2.179880726
Median Absolute Deviation (MAD)0
Skewness1.84241345
Sum119161
Variance3.96945343
MonotonicityNot monotonic
2025-05-10T13:45:02.477398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 33628
 
1.4%
2 6367
 
0.3%
3 4860
 
0.2%
4 2910
 
0.1%
8 2406
 
0.1%
5 2355
 
0.1%
7 1702
 
0.1%
9 342
 
< 0.1%
6 94
 
< 0.1%
(Missing) 2325383
97.7%
ValueCountFrequency (%)
1 33628
1.4%
2 6367
 
0.3%
3 4860
 
0.2%
4 2910
 
0.1%
5 2355
 
0.1%
ValueCountFrequency (%)
9 342
 
< 0.1%
8 2406
0.1%
7 1702
0.1%
6 94
 
< 0.1%
5 2355
0.1%

RRATWRK2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2351143
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.368391918
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.508752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.353502019
Coefficient of variation (CV)0.5714856601
Kurtosis10.94118224
Mean2.368391918
Median Absolute Deviation (MAD)0
Skewness3.365022022
Sum68456
Variance1.831967715
MonotonicityNot monotonic
2025-05-10T13:45:02.540509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 24390
 
1.0%
7 1168
 
< 0.1%
3 1166
 
< 0.1%
1 1108
 
< 0.1%
5 586
 
< 0.1%
9 404
 
< 0.1%
4 82
 
< 0.1%
(Missing) 2351143
98.8%
ValueCountFrequency (%)
1 1108
 
< 0.1%
2 24390
1.0%
3 1166
 
< 0.1%
4 82
 
< 0.1%
5 586
 
< 0.1%
ValueCountFrequency (%)
9 404
 
< 0.1%
7 1168
< 0.1%
5 586
< 0.1%
4 82
 
< 0.1%
3 1166
< 0.1%

RRHCARE3
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2325466
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean2.893882487
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.570914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.862207145
Coefficient of variation (CV)0.6434978455
Kurtosis1.81420501
Mean2.893882487
Median Absolute Deviation (MAD)0
Skewness1.821775757
Sum157951
Variance3.467815452
MonotonicityNot monotonic
2025-05-10T13:45:02.602304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 38426
 
1.6%
7 6640
 
0.3%
3 5902
 
0.2%
1 1327
 
0.1%
6 1041
 
< 0.1%
9 811
 
< 0.1%
5 305
 
< 0.1%
4 129
 
< 0.1%
(Missing) 2325466
97.7%
ValueCountFrequency (%)
1 1327
 
0.1%
2 38426
1.6%
3 5902
 
0.2%
4 129
 
< 0.1%
5 305
 
< 0.1%
ValueCountFrequency (%)
9 811
 
< 0.1%
7 6640
0.3%
6 1041
 
< 0.1%
5 305
 
< 0.1%
4 129
 
< 0.1%

RRPHYSM2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2325524
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean2.02864846
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.632932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5926386998
Coefficient of variation (CV)0.2921347446
Kurtosis103.8471127
Mean2.02864846
Median Absolute Deviation (MAD)0
Skewness9.687105387
Sum110608
Variance0.3512206285
MonotonicityNot monotonic
2025-05-10T13:45:02.662986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 52705
 
2.2%
1 1335
 
0.1%
7 242
 
< 0.1%
9 241
 
< 0.1%
(Missing) 2325524
97.7%
ValueCountFrequency (%)
1 1335
 
0.1%
2 52705
2.2%
7 242
 
< 0.1%
9 241
 
< 0.1%
ValueCountFrequency (%)
9 241
 
< 0.1%
7 242
 
< 0.1%
2 52705
2.2%
1 1335
 
0.1%

RREMTSM2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2325557
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean2.009414571
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.693272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.600277214
Coefficient of variation (CV)0.2987323883
Kurtosis103.5287371
Mean2.009414571
Median Absolute Deviation (MAD)0
Skewness9.420923605
Sum109493
Variance0.3603327337
MonotonicityNot monotonic
2025-05-10T13:45:02.723368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 51843
 
2.2%
1 2211
 
0.1%
9 272
 
< 0.1%
7 164
 
< 0.1%
(Missing) 2325557
97.7%
ValueCountFrequency (%)
1 2211
 
0.1%
2 51843
2.2%
7 164
 
< 0.1%
9 272
 
< 0.1%
ValueCountFrequency (%)
9 272
 
< 0.1%
7 164
 
< 0.1%
2 51843
2.2%
1 2211
 
0.1%

SCNTVOT1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2301504
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean1.30140178
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.754050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9684088164
Coefficient of variation (CV)0.7441274719
Kurtosis42.15844361
Mean1.30140178
Median Absolute Deviation (MAD)0
Skewness6.125301363
Sum102216
Variance0.9378156358
MonotonicityNot monotonic
2025-05-10T13:45:02.783927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 62603
 
2.6%
2 14717
 
0.6%
8 604
 
< 0.1%
9 507
 
< 0.1%
7 112
 
< 0.1%
(Missing) 2301504
96.7%
ValueCountFrequency (%)
1 62603
2.6%
2 14717
 
0.6%
7 112
 
< 0.1%
8 604
 
< 0.1%
9 507
 
< 0.1%
ValueCountFrequency (%)
9 507
 
< 0.1%
8 604
 
< 0.1%
7 112
 
< 0.1%
2 14717
 
0.6%
1 62603
2.6%

_IMPRACE
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.611298618
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.814051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.359107537
Coefficient of variation (CV)0.8434858203
Kurtosis3.218990576
Mean1.611298618
Median Absolute Deviation (MAD)0
Skewness2.167255019
Sum3123649
Variance1.847173297
MonotonicityNot monotonic
2025-05-10T13:45:02.845268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1512262
63.5%
2 156680
 
6.6%
5 147726
 
6.2%
6 54868
 
2.3%
3 38031
 
1.6%
4 29024
 
1.2%
(Missing) 441456
 
18.5%
ValueCountFrequency (%)
1 1512262
63.5%
2 156680
 
6.6%
3 38031
 
1.6%
4 29024
 
1.2%
5 147726
 
6.2%
ValueCountFrequency (%)
6 54868
 
2.3%
5 147726
6.2%
4 29024
 
1.2%
3 38031
 
1.6%
2 156680
6.6%

_IMPNPH
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing909179
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1.02791073
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.874401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1922037465
Coefficient of variation (CV)0.1869848624
Kurtosis112.9548951
Mean1.02791073
Median Absolute Deviation (MAD)0
Skewness8.981528601
Sum1511921
Variance0.03694228016
MonotonicityNot monotonic
2025-05-10T13:45:02.905554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1435294
60.3%
2 31339
 
1.3%
3 3371
 
0.1%
4 596
 
< 0.1%
5 156
 
< 0.1%
6 112
 
< 0.1%
(Missing) 909179
38.2%
ValueCountFrequency (%)
1 1435294
60.3%
2 31339
 
1.3%
3 3371
 
0.1%
4 596
 
< 0.1%
5 156
 
< 0.1%
ValueCountFrequency (%)
6 112
 
< 0.1%
5 156
 
< 0.1%
4 596
 
< 0.1%
3 3371
 
0.1%
2 31339
1.3%

_IMPCAGE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2227223
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean2.495543894
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.933523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.067710109
Coefficient of variation (CV)0.4278466558
Kurtosis-1.241079515
Mean2.495543894
Median Absolute Deviation (MAD)1
Skewness-0.07019524245
Sum381379
Variance1.140004877
MonotonicityNot monotonic
2025-05-10T13:45:02.961807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 49335
 
2.1%
1 36540
 
1.5%
2 35481
 
1.5%
4 31468
 
1.3%
(Missing) 2227223
93.6%
ValueCountFrequency (%)
1 36540
1.5%
2 35481
1.5%
3 49335
2.1%
4 31468
1.3%
ValueCountFrequency (%)
4 31468
1.3%
3 49335
2.1%
2 35481
1.5%
1 36540
1.5%

_IMPCRAC
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2227220
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean2.111276149
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:02.992092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.874453297
Coefficient of variation (CV)0.8878295234
Kurtosis0.1887191939
Mean2.111276149
Median Absolute Deviation (MAD)0
Skewness1.390787563
Sum322660
Variance3.513575163
MonotonicityNot monotonic
2025-05-10T13:45:03.022437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 101600
 
4.3%
6 24589
 
1.0%
2 15480
 
0.7%
3 4766
 
0.2%
4 3692
 
0.2%
5 2700
 
0.1%
(Missing) 2227220
93.6%
ValueCountFrequency (%)
1 101600
4.3%
2 15480
 
0.7%
3 4766
 
0.2%
4 3692
 
0.2%
5 2700
 
0.1%
ValueCountFrequency (%)
6 24589
1.0%
5 2700
 
0.1%
4 3692
 
0.2%
3 4766
 
0.2%
2 15480
0.7%

_IMPCSEX
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2227220
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1.473195181
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.051994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4992826182
Coefficient of variation (CV)0.3389113842
Kurtosis-1.988496689
Mean1.473195181
Median Absolute Deviation (MAD)0
Skewness0.1073747346
Sum225144
Variance0.2492831328
MonotonicityNot monotonic
2025-05-10T13:45:03.081072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 80510
 
3.4%
2 72317
 
3.0%
(Missing) 2227220
93.6%
ValueCountFrequency (%)
1 80510
3.4%
2 72317
3.0%
ValueCountFrequency (%)
2 72317
3.0%
1 80510
3.4%

_LLCPWT2
Real number (ℝ)

Missing 

Distinct29423
Distinct (%)3.1%
Missing1423610
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean516.3218324
Minimum1.932558275
Maximum11506.4444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.116863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.932558275
5-th percentile24.26457507
Q196.19844033
median240.1884451
Q3587.7296025
95-th percentile1949.709371
Maximum11506.4444
Range11504.51184
Interquartile range (IQR)491.5311621

Descriptive statistics

Standard deviation807.4987487
Coefficient of variation (CV)1.563944613
Kurtosis20.32462833
Mean516.3218324
Median Absolute Deviation (MAD)177.4034623
Skewness3.899820948
Sum493829304.5
Variance652054.2291
MonotonicityNot monotonic
2025-05-10T13:45:03.159000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.88376418 6126
 
0.3%
3731.762988 3281
 
0.1%
788.8994495 3270
 
0.1%
4964.321894 2500
 
0.1%
286.6991854 2400
 
0.1%
841.7415163 2382
 
0.1%
525.8724828 2301
 
0.1%
1201.788323 2234
 
0.1%
800.887347 2223
 
0.1%
216.5620011 2205
 
0.1%
Other values (29413) 927515
39.0%
(Missing) 1423610
59.8%
ValueCountFrequency (%)
1.932558275 1
 
< 0.1%
2.222073714 11
< 0.1%
2.594523675 1
 
< 0.1%
2.75770301 2
 
< 0.1%
2.924430211 1
 
< 0.1%
ValueCountFrequency (%)
11506.4444 1
 
< 0.1%
9716.45173 1
 
< 0.1%
9608.253624 3
 
< 0.1%
9423.352373 5
< 0.1%
9205.15552 10
< 0.1%

_EXTETH2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1439696
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean1.700408677
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.192117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.24252466
Coefficient of variation (CV)0.7307211948
Kurtosis25.4250347
Mean1.700408677
Median Absolute Deviation (MAD)0
Skewness4.753751869
Sum1598981
Variance1.543867531
MonotonicityNot monotonic
2025-05-10T13:45:03.222253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 479422
 
20.1%
1 438528
 
18.4%
9 22401
 
0.9%
(Missing) 1439696
60.5%
ValueCountFrequency (%)
1 438528
18.4%
2 479422
20.1%
9 22401
 
0.9%
ValueCountFrequency (%)
9 22401
 
0.9%
2 479422
20.1%
1 438528
18.4%

_ALTETH2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2058158
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean1.74425656
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.252445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.093710569
Coefficient of variation (CV)1.200345532
Kurtosis7.812749424
Mean1.74425656
Median Absolute Deviation (MAD)0
Skewness3.081716355
Sum561457
Variance4.383623945
MonotonicityNot monotonic
2025-05-10T13:45:03.285898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 251042
 
10.5%
2 46744
 
2.0%
9 24103
 
1.0%
(Missing) 2058158
86.5%
ValueCountFrequency (%)
1 251042
10.5%
2 46744
 
2.0%
9 24103
 
1.0%
ValueCountFrequency (%)
9 24103
 
1.0%
2 46744
 
2.0%
1 251042
10.5%

_DENVST2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1439696
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean1.391225191
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.315606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8695712453
Coefficient of variation (CV)0.6250398934
Kurtosis51.32521063
Mean1.391225191
Median Absolute Deviation (MAD)0
Skewness6.244198892
Sum1308240
Variance0.7561541506
MonotonicityNot monotonic
2025-05-10T13:45:03.345400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 633348
26.6%
2 298305
 
12.5%
9 8698
 
0.4%
(Missing) 1439696
60.5%
ValueCountFrequency (%)
1 633348
26.6%
2 298305
12.5%
9 8698
 
0.4%
ValueCountFrequency (%)
9 8698
 
0.4%
2 298305
12.5%
1 633348
26.6%

_DRNKDY4
Real number (ℝ)

Missing 

Distinct346
Distinct (%)< 0.1%
Missing441463
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean595.4511035
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.384996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median3
Q350
95-th percentile9900
Maximum9900
Range9900
Interquartile range (IQR)50

Descriptive statistics

Standard deviation2280.447958
Coefficient of variation (CV)3.829782067
Kurtosis12.67618055
Mean595.4511035
Median Absolute Deviation (MAD)3
Skewness3.827060332
Sum1154331982
Variance5200442.888
MonotonicityNot monotonic
2025-05-10T13:45:03.426887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
9900 109611
 
4.6%
3 100098
 
4.2%
7 81069
 
3.4%
13 58626
 
2.5%
100 55000
 
2.3%
29 41740
 
1.8%
200 39296
 
1.7%
14 38432
 
1.6%
10 37504
 
1.6%
Other values (336) 461268
19.4%
(Missing) 441463
18.5%
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
3 100098
 
4.2%
7 81069
 
3.4%
10 37504
 
1.6%
13 58626
 
2.5%
ValueCountFrequency (%)
9900 109611
4.6%
7600 19
 
< 0.1%
7347 1
 
< 0.1%
7000 4
 
< 0.1%
6900 1
 
< 0.1%

_DRNKMO4
Real number (ℝ)

Missing 

Distinct331
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean576.1065898
Minimum5.397605347 × 10-79
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.468829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q315
95-th percentile9999
Maximum9999
Range9999
Interquartile range (IQR)15

Descriptive statistics

Standard deviation2307.096251
Coefficient of variation (CV)4.004634371
Kurtosis12.73860754
Mean576.1065898
Median Absolute Deviation (MAD)1
Skewness3.838647139
Sum1116835050
Variance5322693.11
MonotonicityNot monotonic
2025-05-10T13:45:03.512406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
9999 109618
 
4.6%
1 100098
 
4.2%
4 97058
 
4.1%
2 81069
 
3.4%
30 55000
 
2.3%
9 50673
 
2.1%
60 39296
 
1.7%
3 37504
 
1.6%
17 35631
 
1.5%
Other values (321) 416704
17.5%
(Missing) 441456
18.5%
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
1 100098
 
4.2%
2 81069
 
3.4%
3 37504
 
1.6%
4 97058
 
4.1%
ValueCountFrequency (%)
9999 109618
4.6%
2280 19
 
< 0.1%
2204 1
 
< 0.1%
2100 4
 
< 0.1%
2070 1
 
< 0.1%

_RFDRHV4
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.504075383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.544518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.848381967
Coefficient of variation (CV)1.228915777
Kurtosis12.29955189
Mean1.504075383
Median Absolute Deviation (MAD)0
Skewness3.754262267
Sum2915787
Variance3.416515897
MonotonicityNot monotonic
2025-05-10T13:45:03.574847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1728721
72.6%
9 109618
 
4.6%
2 100252
 
4.2%
(Missing) 441456
 
18.5%
ValueCountFrequency (%)
1 1728721
72.6%
2 100252
 
4.2%
9 109618
 
4.6%
ValueCountFrequency (%)
9 109618
 
4.6%
2 100252
 
4.2%
1 1728721
72.6%

_RFDRMN4
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1595253
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean1.554427022
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.606348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.926960027
Coefficient of variation (CV)1.239659373
Kurtosis10.80248256
Mean1.554427022
Median Absolute Deviation (MAD)0
Skewness3.550349427
Sum1219905
Variance3.713174944
MonotonicityNot monotonic
2025-05-10T13:45:03.637418image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 689708
29.0%
9 48575
 
2.0%
2 46511
 
2.0%
(Missing) 1595253
67.0%
ValueCountFrequency (%)
1 689708
29.0%
2 46511
 
2.0%
9 48575
 
2.0%
ValueCountFrequency (%)
9 48575
 
2.0%
2 46511
 
2.0%
1 689708
29.0%

_RFDRWM4
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1226250
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean1.469827015
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.669693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.792160387
Coefficient of variation (CV)1.21930021
Kurtosis13.49463121
Mean1.469827015
Median Absolute Deviation (MAD)0
Skewness3.909548942
Sum1695882
Variance3.211838854
MonotonicityNot monotonic
2025-05-10T13:45:03.878642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1039013
43.7%
9 61043
 
2.6%
2 53741
 
2.3%
(Missing) 1226250
51.5%
ValueCountFrequency (%)
1 1039013
43.7%
2 53741
 
2.3%
9 61043
 
2.6%
ValueCountFrequency (%)
9 61043
 
2.6%
2 53741
 
2.3%
1 1039013
43.7%

_RFMAM2Y
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1930482
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean1.777413722
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.907820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.984351153
Coefficient of variation (CV)1.116426147
Kurtosis8.815051718
Mean1.777413722
Median Absolute Deviation (MAD)0
Skewness3.200233409
Sum799063
Variance3.937649498
MonotonicityNot monotonic
2025-05-10T13:45:03.937410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 311621
 
13.1%
2 107722
 
4.5%
9 30222
 
1.3%
(Missing) 1930482
81.1%
ValueCountFrequency (%)
1 311621
13.1%
2 107722
 
4.5%
9 30222
 
1.3%
ValueCountFrequency (%)
9 30222
 
1.3%
2 107722
 
4.5%
1 311621
13.1%

_MAM502Y
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2005124
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean1.791437175
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:03.965916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.034870285
Coefficient of variation (CV)1.135887048
Kurtosis8.196947609
Mean1.791437175
Median Absolute Deviation (MAD)0
Skewness3.114871779
Sum671651
Variance4.140697078
MonotonicityNot monotonic
2025-05-10T13:45:03.996545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 264514
 
11.1%
2 83792
 
3.5%
9 26617
 
1.1%
(Missing) 2005124
84.2%
ValueCountFrequency (%)
1 264514
11.1%
2 83792
 
3.5%
9 26617
 
1.1%
ValueCountFrequency (%)
9 26617
 
1.1%
2 83792
 
3.5%
1 264514
11.1%

_MAM5021
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2249956
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean1.218862181
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.029109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4134765301
Coefficient of variation (CV)0.339231569
Kurtosis-0.1506904293
Mean1.218862181
Median Absolute Deviation (MAD)0
Skewness1.359894072
Sum158563
Variance0.170962841
MonotonicityNot monotonic
2025-05-10T13:45:04.059211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 101619
 
4.3%
2 28472
 
1.2%
(Missing) 2249956
94.5%
ValueCountFrequency (%)
1 101619
4.3%
2 28472
 
1.2%
ValueCountFrequency (%)
2 28472
 
1.2%
1 101619
4.3%

_RFPAP32
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2004297
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean1.535097804
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.088244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.532686646
Coefficient of variation (CV)0.9984293128
Kurtosis18.11826861
Mean1.535097804
Median Absolute Deviation (MAD)0
Skewness4.308917915
Sum576813
Variance2.349128355
MonotonicityNot monotonic
2025-05-10T13:45:04.119090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 273338
 
11.5%
2 88319
 
3.7%
9 14093
 
0.6%
(Missing) 2004297
84.2%
ValueCountFrequency (%)
1 273338
11.5%
2 88319
 
3.7%
9 14093
 
0.6%
ValueCountFrequency (%)
9 14093
 
0.6%
2 88319
 
3.7%
1 273338
11.5%

_RFPAP33
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2257199
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.174923483
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.150682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3799031886
Coefficient of variation (CV)0.3233429191
Kurtosis0.9288807785
Mean1.174923483
Median Absolute Deviation (MAD)0
Skewness1.711392899
Sum144337
Variance0.1443264327
MonotonicityNot monotonic
2025-05-10T13:45:04.194944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 101359
 
4.3%
2 21489
 
0.9%
(Missing) 2257199
94.8%
ValueCountFrequency (%)
1 101359
4.3%
2 21489
 
0.9%
ValueCountFrequency (%)
2 21489
 
0.9%
1 101359
4.3%

_RFPSA21
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2099409
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.017773787
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.223530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.956109432
Coefficient of variation (CV)0.9694394111
Kurtosis8.178343891
Mean2.017773787
Median Absolute Deviation (MAD)1
Skewness3.056951093
Sum566264
Variance3.826364109
MonotonicityNot monotonic
2025-05-10T13:45:04.255375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 131498
 
5.5%
1 129874
 
5.5%
9 19266
 
0.8%
(Missing) 2099409
88.2%
ValueCountFrequency (%)
1 129874
5.5%
2 131498
5.5%
9 19266
 
0.8%
ValueCountFrequency (%)
9 19266
 
0.8%
2 131498
5.5%
1 129874
5.5%

_RFBLDS2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1789779
Missing (%)75.2%
Infinite0
Infinite (%)0.0%
Mean2.166487087
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.285508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.50457526
Coefficient of variation (CV)0.694476911
Kurtosis15.72809543
Mean2.166487087
Median Absolute Deviation (MAD)0
Skewness4.045528447
Sum1278808
Variance2.263746713
MonotonicityNot monotonic
2025-05-10T13:45:04.317662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 481276
 
20.2%
1 83084
 
3.5%
9 25908
 
1.1%
(Missing) 1789779
75.2%
ValueCountFrequency (%)
1 83084
 
3.5%
2 481276
20.2%
9 25908
 
1.1%
ValueCountFrequency (%)
9 25908
 
1.1%
2 481276
20.2%
1 83084
 
3.5%

_RFBLDS3
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2154847
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean1.911198934
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.347312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2844570192
Coefficient of variation (CV)0.1488369494
Kurtosis6.358749125
Mean1.911198934
Median Absolute Deviation (MAD)0
Skewness-2.891140372
Sum430402
Variance0.08091579575
MonotonicityNot monotonic
2025-05-10T13:45:04.375413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 205202
 
8.6%
1 19998
 
0.8%
(Missing) 2154847
90.5%
ValueCountFrequency (%)
1 19998
 
0.8%
2 205202
8.6%
ValueCountFrequency (%)
2 205202
8.6%
1 19998
 
0.8%

_RFSIGM2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1790511
Missing (%)75.2%
Infinite0
Infinite (%)0.0%
Mean1.503996363
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.403930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.344093575
Coefficient of variation (CV)0.8936813997
Kurtosis23.90914543
Mean1.503996363
Median Absolute Deviation (MAD)0
Skewness4.799354832
Sum886660
Variance1.806587539
MonotonicityNot monotonic
2025-05-10T13:45:04.434877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 407121
 
17.1%
2 166028
 
7.0%
9 16387
 
0.7%
(Missing) 1790511
75.2%
ValueCountFrequency (%)
1 407121
17.1%
2 166028
7.0%
9 16387
 
0.7%
ValueCountFrequency (%)
9 16387
 
0.7%
2 166028
7.0%
1 407121
17.1%

_COL10YR
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2159728
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean1.339416936
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.466418image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4735125102
Coefficient of variation (CV)0.3535213699
Kurtosis-1.53996461
Mean1.339416936
Median Absolute Deviation (MAD)0
Skewness0.6782693928
Sum295099
Variance0.2242140973
MonotonicityNot monotonic
2025-05-10T13:45:04.497555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 145539
 
6.1%
2 74780
 
3.1%
(Missing) 2159728
90.7%
ValueCountFrequency (%)
1 145539
6.1%
2 74780
3.1%
ValueCountFrequency (%)
2 74780
3.1%
1 145539
6.1%

_HFOB3YR
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2154847
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean1.828650089
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.527401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3768152726
Coefficient of variation (CV)0.2060619879
Kurtosis1.042842978
Mean1.828650089
Median Absolute Deviation (MAD)0
Skewness-1.744372012
Sum411812
Variance0.1419897496
MonotonicityNot monotonic
2025-05-10T13:45:04.559504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 186612
 
7.8%
1 38588
 
1.6%
(Missing) 2154847
90.5%
ValueCountFrequency (%)
1 38588
 
1.6%
2 186612
7.8%
ValueCountFrequency (%)
2 186612
7.8%
1 38588
 
1.6%

_FS5YR
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2271752
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.971836188
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.589437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1654414224
Coefficient of variation (CV)0.08390221431
Kurtosis30.53700266
Mean1.971836188
Median Absolute Deviation (MAD)0
Skewness-5.704072116
Sum213540
Variance0.02737086426
MonotonicityNot monotonic
2025-05-10T13:45:04.618713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 105245
 
4.4%
1 3050
 
0.1%
(Missing) 2271752
95.4%
ValueCountFrequency (%)
1 3050
 
0.1%
2 105245
4.4%
ValueCountFrequency (%)
2 105245
4.4%
1 3050
 
0.1%

_FOBTFS
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2176413
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean1.995275838
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.648157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06857016378
Coefficient of variation (CV)0.03436625777
Kurtosis206.6876057
Mean1.995275838
Median Absolute Deviation (MAD)0
Skewness-14.44595361
Sum406306
Variance0.00470186736
MonotonicityNot monotonic
2025-05-10T13:45:04.676923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 202672
 
8.5%
1 962
 
< 0.1%
(Missing) 2176413
91.4%
ValueCountFrequency (%)
1 962
 
< 0.1%
2 202672
8.5%
ValueCountFrequency (%)
2 202672
8.5%
1 962
 
< 0.1%

_CRCREC
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing2158671
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean1.307264563
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.706050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4613610441
Coefficient of variation (CV)0.3529209442
Kurtosis-1.301925422
Mean1.307264563
Median Absolute Deviation (MAD)0
Skewness0.8355156131
Sum289397
Variance0.212854013
MonotonicityNot monotonic
2025-05-10T13:45:04.736294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 153355
 
6.4%
2 68021
 
2.9%
(Missing) 2158671
90.7%
ValueCountFrequency (%)
1 153355
6.4%
2 68021
2.9%
ValueCountFrequency (%)
2 68021
2.9%
1 153355
6.4%

_IMPEDUC
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean4.870343786
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.766145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.053367689
Coefficient of variation (CV)0.2162819987
Kurtosis-0.1228373137
Mean4.870343786
Median Absolute Deviation (MAD)1
Skewness-0.6421175917
Sum4658177
Variance1.109583487
MonotonicityNot monotonic
2025-05-10T13:45:04.798243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 339391
 
14.3%
4 275975
 
11.6%
5 261425
 
11.0%
3 52871
 
2.2%
2 25418
 
1.1%
1 1357
 
0.1%
(Missing) 1423610
59.8%
ValueCountFrequency (%)
1 1357
 
0.1%
2 25418
 
1.1%
3 52871
 
2.2%
4 275975
11.6%
5 261425
11.0%
ValueCountFrequency (%)
6 339391
14.3%
5 261425
11.0%
4 275975
11.6%
3 52871
 
2.2%
2 25418
 
1.1%

_IMPMRTL
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean2.206740224
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.828293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.576708918
Coefficient of variation (CV)0.7144968405
Kurtosis-0.400385592
Mean2.206740224
Median Absolute Deviation (MAD)0
Skewness1.019704717
Sum2110608
Variance2.486011012
MonotonicityNot monotonic
2025-05-10T13:45:04.858894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 504784
 
21.2%
5 144638
 
6.1%
2 134322
 
5.6%
3 127328
 
5.3%
6 25273
 
1.1%
4 20092
 
0.8%
(Missing) 1423610
59.8%
ValueCountFrequency (%)
1 504784
21.2%
2 134322
 
5.6%
3 127328
 
5.3%
4 20092
 
0.8%
5 144638
 
6.1%
ValueCountFrequency (%)
6 25273
 
1.1%
5 144638
6.1%
4 20092
 
0.8%
3 127328
5.3%
2 134322
5.6%

_IMPHOME
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean1.307687804
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:04.887754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5442657026
Coefficient of variation (CV)0.4162046178
Kurtosis1.551481431
Mean1.307687804
Median Absolute Deviation (MAD)0
Skewness1.580096808
Sum1250721
Variance0.296225155
MonotonicityNot monotonic
2025-05-10T13:45:04.921815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 701945
29.5%
2 214700
 
9.0%
3 39792
 
1.7%
(Missing) 1423610
59.8%
ValueCountFrequency (%)
1 701945
29.5%
2 214700
 
9.0%
3 39792
 
1.7%
ValueCountFrequency (%)
3 39792
 
1.7%
2 214700
 
9.0%
1 701945
29.5%

RCSBRAC1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

RCSRACE1
Text

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Memory size18.2 MiB
2025-05-10T13:45:04.946052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2869311
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 956437
100.0%
2025-05-10T13:45:05.000002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

RCHISLA1
Text

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing1423610
Missing (%)59.8%
Memory size18.2 MiB
2025-05-10T13:45:05.023284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2869311
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 956437
100.0%
2025-05-10T13:45:05.078323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2869311
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1912874
66.7%
b 956437
33.3%

RCSBIRTH
Text

Missing 

Distinct294
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Memory size18.2 MiB
2025-05-10T13:45:05.133595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.384529795
Min length3

Characters and Unicode

Total characters6561219
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 1814350
93.6%
b'999999 9432
 
0.5%
b'777777 4789
 
0.2%
b'051995 779
 
< 0.1%
b'091995 761
 
< 0.1%
b'101995 739
 
< 0.1%
b'041995 718
 
< 0.1%
b'061995 715
 
< 0.1%
b'091996 713
 
< 0.1%
b'071995 712
 
< 0.1%
Other values (284) 104883
 
5.4%
2025-05-10T13:45:05.236479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

CPDEMO4
Real number (ℝ)

Missing 

Distinct103
Distinct (%)< 0.1%
Missing1474794
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean140.273444
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.286468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median50
Q390
95-th percentile888
Maximum999
Range998
Interquartile range (IQR)80

Descriptive statistics

Standard deviation266.4311559
Coefficient of variation (CV)1.89936989
Kurtosis3.474146097
Mean140.273444
Median Absolute Deviation (MAD)40
Skewness2.297218423
Sum126982956
Variance70985.56083
MonotonicityNot monotonic
2025-05-10T13:45:05.328365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 115272
 
4.8%
10 93117
 
3.9%
5 68247
 
2.9%
888 60549
 
2.5%
90 55679
 
2.3%
1 53808
 
2.3%
20 46582
 
2.0%
75 46056
 
1.9%
80 44965
 
1.9%
777 42132
 
1.8%
Other values (93) 278846
 
11.7%
(Missing) 1474794
62.0%
ValueCountFrequency (%)
1 53808
2.3%
2 30064
1.3%
3 10339
 
0.4%
4 3193
 
0.1%
5 68247
2.9%
ValueCountFrequency (%)
999 6541
 
0.3%
888 60549
2.5%
777 42132
1.8%
100 17907
 
0.8%
99 17107
 
0.7%

HLTHCVRG
Text

Missing 

Distinct449
Distinct (%)0.1%
Missing1888274
Missing (%)79.3%
Memory size18.2 MiB
2025-05-10T13:45:05.400361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length17
Median length5
Mean length4.39068432
Min length3

Characters and Unicode

Total characters2159220
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 268363
45.8%
b'01 69369
 
11.8%
1 32482
 
5.5%
b'03 31951
 
5.5%
b'88 28189
 
4.8%
b'02 27265
 
4.7%
3 21312
 
3.6%
b'04 17826
 
3.0%
2 14563
 
2.5%
b'07 14035
 
2.4%
Other values (305) 60168
 
10.3%
2025-05-10T13:45:05.516618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 983546
45.6%
b 491773
22.8%
0 215795
 
10.0%
1 113411
 
5.3%
93816
 
4.3%
3 63562
 
2.9%
8 56948
 
2.6%
2 50463
 
2.3%
4 33783
 
1.6%
7 31166
 
1.4%
Other values (3) 24957
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2159220
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 983546
45.6%
b 491773
22.8%
0 215795
 
10.0%
1 113411
 
5.3%
93816
 
4.3%
3 63562
 
2.9%
8 56948
 
2.6%
2 50463
 
2.3%
4 33783
 
1.6%
7 31166
 
1.4%
Other values (3) 24957
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2159220
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 983546
45.6%
b 491773
22.8%
0 215795
 
10.0%
1 113411
 
5.3%
93816
 
4.3%
3 63562
 
2.9%
8 56948
 
2.6%
2 50463
 
2.3%
4 33783
 
1.6%
7 31166
 
1.4%
Other values (3) 24957
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2159220
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 983546
45.6%
b 491773
22.8%
0 215795
 
10.0%
1 113411
 
5.3%
93816
 
4.3%
3 63562
 
2.9%
8 56948
 
2.6%
2 50463
 
2.3%
4 33783
 
1.6%
7 31166
 
1.4%
Other values (3) 24957
 
1.2%

MEDBILLS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2036852
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean1.8533953
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.556869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.592960454
Coefficient of variation (CV)0.319931994
Kurtosis50.73408893
Mean1.8533953
Median Absolute Deviation (MAD)0
Skewness4.915652723
Sum636076
Variance0.3516021001
MonotonicityNot monotonic
2025-05-10T13:45:05.588375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 278391
 
11.7%
1 62499
 
2.6%
7 1975
 
0.1%
9 330
 
< 0.1%
(Missing) 2036852
85.6%
ValueCountFrequency (%)
1 62499
 
2.6%
2 278391
11.7%
7 1975
 
0.1%
9 330
 
< 0.1%
ValueCountFrequency (%)
9 330
 
< 0.1%
7 1975
 
0.1%
2 278391
11.7%
1 62499
 
2.6%

SSBSUGAR
Real number (ℝ)

Missing 

Distinct96
Distinct (%)0.1%
Missing2250469
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean529.3882218
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.627527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1203
median310
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)685

Descriptive statistics

Standard deviation336.8035407
Coefficient of variation (CV)0.6362127581
Kurtosis-1.863122288
Mean529.3882218
Median Absolute Deviation (MAD)209
Skewness0.05538334713
Sum68597067
Variance113436.625
MonotonicityNot monotonic
2025-05-10T13:45:05.666491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 58942
 
2.5%
101 10188
 
0.4%
301 8617
 
0.4%
201 8271
 
0.3%
302 8133
 
0.3%
202 5922
 
0.2%
102 4280
 
0.2%
303 3622
 
0.2%
203 3606
 
0.2%
305 2341
 
0.1%
Other values (86) 15656
 
0.7%
(Missing) 2250469
94.6%
ValueCountFrequency (%)
101 10188
0.4%
102 4280
0.2%
103 1628
 
0.1%
104 738
 
< 0.1%
105 379
 
< 0.1%
ValueCountFrequency (%)
999 134
 
< 0.1%
888 58942
2.5%
777 761
 
< 0.1%
399 6
 
< 0.1%
396 1
 
< 0.1%

SSBFRUT2
Real number (ℝ)

Missing 

Distinct94
Distinct (%)0.1%
Missing2276527
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean580.0228941
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.705973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1301
median888
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)587

Descriptive statistics

Standard deviation333.5247685
Coefficient of variation (CV)0.5750200068
Kurtosis-1.8292435
Mean580.0228941
Median Absolute Deviation (MAD)0
Skewness-0.2231613448
Sum60043970
Variance111238.7712
MonotonicityNot monotonic
2025-05-10T13:45:05.744966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 54461
 
2.3%
101 6789
 
0.3%
302 4910
 
0.2%
201 4792
 
0.2%
202 4140
 
0.2%
301 3894
 
0.2%
203 2767
 
0.1%
305 2541
 
0.1%
102 2533
 
0.1%
303 2460
 
0.1%
Other values (84) 14233
 
0.6%
(Missing) 2276527
95.7%
ValueCountFrequency (%)
101 6789
0.3%
102 2533
 
0.1%
103 1017
 
< 0.1%
104 408
 
< 0.1%
105 232
 
< 0.1%
ValueCountFrequency (%)
999 112
 
< 0.1%
888 54461
2.3%
777 740
 
< 0.1%
399 4
 
< 0.1%
390 10
 
< 0.1%

MISNERVS
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248250
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.25546105
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.775838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.042860808
Coefficient of variation (CV)0.2450641179
Kurtosis3.365401943
Mean4.25546105
Median Absolute Deviation (MAD)1
Skewness-0.2145108125
Sum560857
Variance1.087558666
MonotonicityNot monotonic
2025-05-10T13:45:05.807661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 63446
 
2.7%
4 40307
 
1.7%
3 19620
 
0.8%
2 4637
 
0.2%
1 2379
 
0.1%
9 1015
 
< 0.1%
7 393
 
< 0.1%
(Missing) 2248250
94.5%
ValueCountFrequency (%)
1 2379
 
0.1%
2 4637
 
0.2%
3 19620
 
0.8%
4 40307
1.7%
5 63446
2.7%
ValueCountFrequency (%)
9 1015
 
< 0.1%
7 393
 
< 0.1%
5 63446
2.7%
4 40307
1.7%
3 19620
 
0.8%

MISHOPLS
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248315
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.71541463
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.838010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8379043101
Coefficient of variation (CV)0.1776947259
Kurtosis8.790176318
Mean4.71541463
Median Absolute Deviation (MAD)0
Skewness-0.8008188556
Sum621171
Variance0.702083633
MonotonicityNot monotonic
2025-05-10T13:45:05.869559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 104371
 
4.4%
4 14387
 
0.6%
3 8337
 
0.4%
2 2212
 
0.1%
1 1118
 
< 0.1%
9 1033
 
< 0.1%
7 274
 
< 0.1%
(Missing) 2248315
94.5%
ValueCountFrequency (%)
1 1118
 
< 0.1%
2 2212
 
0.1%
3 8337
 
0.4%
4 14387
 
0.6%
5 104371
4.4%
ValueCountFrequency (%)
9 1033
 
< 0.1%
7 274
 
< 0.1%
5 104371
4.4%
4 14387
 
0.6%
3 8337
 
0.4%

MISRSTLS
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248373
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.325227456
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.899701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.079405886
Coefficient of variation (CV)0.2495604906
Kurtosis3.119619845
Mean4.325227456
Median Absolute Deviation (MAD)0
Skewness-0.4117505462
Sum569520
Variance1.165117066
MonotonicityNot monotonic
2025-05-10T13:45:05.931511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 72610
 
3.1%
4 30705
 
1.3%
3 19568
 
0.8%
2 4135
 
0.2%
1 3001
 
0.1%
9 1045
 
< 0.1%
7 610
 
< 0.1%
(Missing) 2248373
94.5%
ValueCountFrequency (%)
1 3001
 
0.1%
2 4135
 
0.2%
3 19568
 
0.8%
4 30705
1.3%
5 72610
3.1%
ValueCountFrequency (%)
9 1045
 
< 0.1%
7 610
 
< 0.1%
5 72610
3.1%
4 30705
1.3%
3 19568
 
0.8%

MISDEPRD
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248420
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.801119831
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:05.963337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7685515008
Coefficient of variation (CV)0.1600775502
Kurtosis12.28088256
Mean4.801119831
Median Absolute Deviation (MAD)0
Skewness-0.8026336267
Sum631957
Variance0.5906714094
MonotonicityNot monotonic
2025-05-10T13:45:05.994082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 111902
 
4.7%
4 9536
 
0.4%
3 6091
 
0.3%
2 1922
 
0.1%
9 1060
 
< 0.1%
1 861
 
< 0.1%
7 255
 
< 0.1%
(Missing) 2248420
94.5%
ValueCountFrequency (%)
1 861
 
< 0.1%
2 1922
 
0.1%
3 6091
 
0.3%
4 9536
 
0.4%
5 111902
4.7%
ValueCountFrequency (%)
9 1060
 
< 0.1%
7 255
 
< 0.1%
5 111902
4.7%
4 9536
 
0.4%
3 6091
 
0.3%

MISEFFRT
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248478
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.456718528
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.025486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.120932333
Coefficient of variation (CV)0.2515151734
Kurtosis3.461278954
Mean4.456718528
Median Absolute Deviation (MAD)0
Skewness-0.7778183924
Sum586366
Variance1.256489296
MonotonicityNot monotonic
2025-05-10T13:45:06.056280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 86934
 
3.7%
4 19766
 
0.8%
3 14235
 
0.6%
2 4465
 
0.2%
1 4077
 
0.2%
9 1138
 
< 0.1%
7 954
 
< 0.1%
(Missing) 2248478
94.5%
ValueCountFrequency (%)
1 4077
 
0.2%
2 4465
 
0.2%
3 14235
 
0.6%
4 19766
 
0.8%
5 86934
3.7%
ValueCountFrequency (%)
9 1138
 
< 0.1%
7 954
 
< 0.1%
5 86934
3.7%
4 19766
 
0.8%
3 14235
 
0.6%

MISWTLES
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2248546
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean4.801028129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.086046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.798386686
Coefficient of variation (CV)0.1662949403
Kurtosis12.14443725
Mean4.801028129
Median Absolute Deviation (MAD)0
Skewness-1.021229
Sum631340
Variance0.6374213004
MonotonicityNot monotonic
2025-05-10T13:45:06.117638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 112565
 
4.7%
4 8417
 
0.4%
3 5929
 
0.2%
2 1822
 
0.1%
1 1358
 
0.1%
9 1094
 
< 0.1%
7 316
 
< 0.1%
(Missing) 2248546
94.5%
ValueCountFrequency (%)
1 1358
 
0.1%
2 1822
 
0.1%
3 5929
 
0.2%
4 8417
 
0.4%
5 112565
4.7%
ValueCountFrequency (%)
9 1094
 
< 0.1%
7 316
 
< 0.1%
5 112565
4.7%
4 8417
 
0.4%
3 5929
 
0.2%

MISNOWRK
Real number (ℝ)

Missing 

Distinct33
Distinct (%)< 0.1%
Missing2248633
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean80.13641621
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.153800image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q188
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.77498417
Coefficient of variation (CV)0.2966814002
Kurtosis5.502900657
Mean80.13641621
Median Absolute Deviation (MAD)0
Skewness-2.709012107
Sum10531047
Variance565.2498723
MonotonicityNot monotonic
2025-05-10T13:45:06.191550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 116265
 
4.9%
2 1926
 
0.1%
5 1613
 
0.1%
30 1546
 
0.1%
1 1528
 
0.1%
3 1319
 
0.1%
15 1096
 
< 0.1%
99 1055
 
< 0.1%
10 1023
 
< 0.1%
77 848
 
< 0.1%
Other values (23) 3195
 
0.1%
(Missing) 2248633
94.5%
ValueCountFrequency (%)
1 1528
0.1%
2 1926
0.1%
3 1319
0.1%
4 698
 
< 0.1%
5 1613
0.1%
ValueCountFrequency (%)
99 1055
 
< 0.1%
88 116265
4.9%
77 848
 
< 0.1%
30 1546
 
0.1%
29 12
 
< 0.1%

MISTRHLP
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2249130
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean1.760183933
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.221995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.545916766
Coefficient of variation (CV)0.8782700131
Kurtosis8.309944395
Mean1.760183933
Median Absolute Deviation (MAD)0
Skewness2.866489641
Sum230438
Variance2.389858648
MonotonicityNot monotonic
2025-05-10T13:45:06.253893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 84302
 
3.5%
2 30475
 
1.3%
7 4570
 
0.2%
4 4202
 
0.2%
3 3604
 
0.2%
5 2075
 
0.1%
9 1689
 
0.1%
(Missing) 2249130
94.5%
ValueCountFrequency (%)
1 84302
3.5%
2 30475
 
1.3%
3 3604
 
0.2%
4 4202
 
0.2%
5 2075
 
0.1%
ValueCountFrequency (%)
9 1689
 
0.1%
7 4570
0.2%
5 2075
0.1%
4 4202
0.2%
3 3604
0.2%

MISPHLPF
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2249245
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean2.877264874
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.284355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.696156686
Coefficient of variation (CV)0.5895031428
Kurtosis1.013895287
Mean2.877264874
Median Absolute Deviation (MAD)1
Skewness1.009982364
Sum376352
Variance2.876947503
MonotonicityNot monotonic
2025-05-10T13:45:06.316639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 43980
 
1.8%
4 32090
 
1.3%
1 29352
 
1.2%
5 13344
 
0.6%
3 5907
 
0.2%
7 4461
 
0.2%
9 1668
 
0.1%
(Missing) 2249245
94.5%
ValueCountFrequency (%)
1 29352
1.2%
2 43980
1.8%
3 5907
 
0.2%
4 32090
1.3%
5 13344
 
0.6%
ValueCountFrequency (%)
9 1668
 
0.1%
7 4461
 
0.2%
5 13344
0.6%
4 32090
1.3%
3 5907
 
0.2%

SCNTMONY
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2231848
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean4.210041903
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.347596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.461429631
Coefficient of variation (CV)0.3471294739
Kurtosis1.136963949
Mean4.210041903
Median Absolute Deviation (MAD)0
Skewness-0.2411725135
Sum623924
Variance2.135776567
MonotonicityNot monotonic
2025-05-10T13:45:06.378769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 78916
 
3.3%
3 23871
 
1.0%
4 22458
 
0.9%
1 11430
 
0.5%
2 6047
 
0.3%
8 4370
 
0.2%
9 833
 
< 0.1%
7 274
 
< 0.1%
(Missing) 2231848
93.8%
ValueCountFrequency (%)
1 11430
 
0.5%
2 6047
 
0.3%
3 23871
 
1.0%
4 22458
 
0.9%
5 78916
3.3%
ValueCountFrequency (%)
9 833
 
< 0.1%
8 4370
 
0.2%
7 274
 
< 0.1%
5 78916
3.3%
4 22458
 
0.9%

SCNTMEAL
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2223672
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean4.397998401
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.408932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.168283603
Coefficient of variation (CV)0.2656398425
Kurtosis2.818557176
Mean4.397998401
Median Absolute Deviation (MAD)0
Skewness-1.037668008
Sum687737
Variance1.364886576
MonotonicityNot monotonic
2025-05-10T13:45:06.440545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 105261
 
4.4%
3 19021
 
0.8%
4 18788
 
0.8%
1 7071
 
0.3%
2 4752
 
0.2%
9 1030
 
< 0.1%
7 244
 
< 0.1%
8 208
 
< 0.1%
(Missing) 2223672
93.4%
ValueCountFrequency (%)
1 7071
 
0.3%
2 4752
 
0.2%
3 19021
 
0.8%
4 18788
 
0.8%
5 105261
4.4%
ValueCountFrequency (%)
9 1030
 
< 0.1%
8 208
 
< 0.1%
7 244
 
< 0.1%
5 105261
4.4%
4 18788
 
0.8%

PCTCELL
Real number (ℝ)

Missing 

Distinct52
Distinct (%)0.1%
Missing2332921
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean112.0808259
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.480523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile90
Q190
median95
Q399
95-th percentile100
Maximum999
Range998
Interquartile range (IQR)9

Descriptive statistics

Standard deviation128.3079612
Coefficient of variation (CV)1.144780654
Kurtosis40.255617
Mean112.0808259
Median Absolute Deviation (MAD)5
Skewness6.433141651
Sum5281921
Variance16462.9329
MonotonicityNot monotonic
2025-05-10T13:45:06.521181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 16486
 
0.7%
100 10634
 
0.4%
95 8044
 
0.3%
99 5860
 
0.2%
98 2686
 
0.1%
999 790
 
< 0.1%
50 380
 
< 0.1%
97 286
 
< 0.1%
777 206
 
< 0.1%
10 193
 
< 0.1%
Other values (42) 1561
 
0.1%
(Missing) 2332921
98.0%
ValueCountFrequency (%)
1 87
< 0.1%
2 60
< 0.1%
3 15
 
< 0.1%
4 6
 
< 0.1%
5 142
< 0.1%
ValueCountFrequency (%)
999 790
 
< 0.1%
888 64
 
< 0.1%
777 206
 
< 0.1%
100 10634
0.4%
99 5860
0.2%

TYPEINDS
Text

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing1888274
Missing (%)79.3%
Memory size18.2 MiB
2025-05-10T13:45:06.543614image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1475319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 491773
100.0%
2025-05-10T13:45:06.597687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

TYPEWORK
Text

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing1888274
Missing (%)79.3%
Memory size18.2 MiB
2025-05-10T13:45:06.619783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1475319
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 491773
100.0%
2025-05-10T13:45:06.673737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1475319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 983546
66.7%
b 491773
33.3%

_GEOSTR
Real number (ℝ)

Missing 

Distinct68
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean22.75980753
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.714138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q317
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)15

Descriptive statistics

Standard deviation35.51956903
Coefficient of variation (CV)1.560626951
Kurtosis0.7355522306
Mean22.75980753
Median Absolute Deviation (MAD)4
Skewness1.607661199
Sum22353636
Variance1261.639784
MonotonicityNot monotonic
2025-05-10T13:45:06.754872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 169933
 
7.1%
1 154906
 
6.5%
2 117781
 
4.9%
3 81744
 
3.4%
4 61637
 
2.6%
5 60619
 
2.5%
7 49336
 
2.1%
6 42852
 
1.8%
8 27030
 
1.1%
9 26712
 
1.1%
Other values (58) 189604
 
8.0%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 154906
6.5%
2 117781
4.9%
3 81744
3.4%
4 61637
 
2.6%
5 60619
 
2.5%
ValueCountFrequency (%)
99 169933
7.1%
67 112
 
< 0.1%
66 111
 
< 0.1%
65 107
 
< 0.1%
64 208
 
< 0.1%

_DENSTR2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2.507121083
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.786548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.987453259
Coefficient of variation (CV)1.191587147
Kurtosis0.9062158274
Mean2.507121083
Median Absolute Deviation (MAD)0
Skewness1.685272655
Sum2462379
Variance8.924876975
MonotonicityNot monotonic
2025-05-10T13:45:06.815913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 691460
29.1%
9 169933
 
7.1%
2 120761
 
5.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 691460
29.1%
2 120761
 
5.1%
9 169933
 
7.1%
ValueCountFrequency (%)
9 169933
 
7.1%
2 120761
 
5.1%
1 691460
29.1%

PRECALL
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.031804585
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.847046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3004574045
Coefficient of variation (CV)0.2911960355
Kurtosis97.11162975
Mean1.031804585
Median Absolute Deviation (MAD)0
Skewness9.758033306
Sum1013391
Variance0.0902746519
MonotonicityNot monotonic
2025-05-10T13:45:06.876607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 970753
40.8%
4 6590
 
0.3%
3 3894
 
0.2%
5 906
 
< 0.1%
6 11
 
< 0.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 970753
40.8%
3 3894
 
0.2%
4 6590
 
0.3%
5 906
 
< 0.1%
6 11
 
< 0.1%
ValueCountFrequency (%)
6 11
 
< 0.1%
5 906
 
< 0.1%
4 6590
 
0.3%
3 3894
 
0.2%
1 970753
40.8%

REPNUM
Real number (ℝ)

Missing 

Distinct17952
Distinct (%)1.8%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean64161.5058
Minimum10001
Maximum121064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.913163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10147
Q130406
median60703.5
Q390465.75
95-th percentile120056
Maximum121064
Range111063
Interquartile range (IQR)60059.75

Descriptive statistics

Standard deviation34349.57304
Coefficient of variation (CV)0.5353610799
Kurtosis-1.227965207
Mean64161.5058
Median Absolute Deviation (MAD)30059.5
Skewness0.004685625906
Sum6.301647957 × 1010
Variance1179893168
MonotonicityNot monotonic
2025-05-10T13:45:06.952648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40007 503
 
< 0.1%
80014 489
 
< 0.1%
80005 479
 
< 0.1%
80004 476
 
< 0.1%
20003 474
 
< 0.1%
30001 472
 
< 0.1%
40005 472
 
< 0.1%
80002 469
 
< 0.1%
20001 468
 
< 0.1%
100009 468
 
< 0.1%
Other values (17942) 977384
41.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
10001 459
< 0.1%
10002 448
< 0.1%
10003 438
< 0.1%
10004 410
< 0.1%
10005 435
< 0.1%
ValueCountFrequency (%)
121064 3
< 0.1%
121063 5
< 0.1%
121062 2
 
< 0.1%
121061 2
 
< 0.1%
121060 1
 
< 0.1%

REPDEPTH
Real number (ℝ)

Missing 

Distinct30
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean15.48055295
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:06.988755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile29
Maximum30
Range29
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.656287084
Coefficient of variation (CV)0.5591716984
Kurtosis-1.20172687
Mean15.48055295
Median Absolute Deviation (MAD)7
Skewness0.002288662911
Sum15204287
Variance74.93130608
MonotonicityNot monotonic
2025-05-10T13:45:07.024323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 33032
 
1.4%
2 33001
 
1.4%
4 32964
 
1.4%
22 32922
 
1.4%
14 32886
 
1.4%
15 32858
 
1.4%
20 32856
 
1.4%
12 32805
 
1.4%
8 32805
 
1.4%
9 32791
 
1.4%
Other values (20) 653234
27.4%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 33032
1.4%
2 33001
1.4%
3 32616
1.4%
4 32964
1.4%
5 32748
1.4%
ValueCountFrequency (%)
30 32723
1.4%
29 32736
1.4%
28 32573
1.4%
27 32472
1.4%
26 32625
1.4%

INTVID
Text

Missing 

Distinct9593
Distinct (%)1.0%
Missing1397893
Missing (%)58.7%
Memory size18.2 MiB
2025-05-10T13:45:07.099453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.89793454
Min length6

Characters and Unicode

Total characters7756988
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3578 ?
Unique (%)0.4%

Sample

1st rowb'00163'
2nd rowb'00172'
3rd rowb'00105'
4th rowb'00106'
5th rowb'00102'
ValueCountFrequency (%)
b'00101 4975
 
0.5%
b'00123 4520
 
0.5%
b'00215 4325
 
0.4%
b'00130 3784
 
0.4%
b'00102 3724
 
0.4%
b'00001 3398
 
0.3%
b'00114 3075
 
0.3%
b'00204 3026
 
0.3%
b'00198 2997
 
0.3%
b'00155 2956
 
0.3%
Other values (9583) 945417
96.3%
2025-05-10T13:45:07.219611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1964308
25.3%
0 1751829
22.6%
b 982154
12.7%
1 537296
 
6.9%
2 531779
 
6.9%
3 358379
 
4.6%
4 342085
 
4.4%
5 272813
 
3.5%
6 243991
 
3.1%
9 232590
 
3.0%
Other values (21) 539764
 
7.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7756988
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1964308
25.3%
0 1751829
22.6%
b 982154
12.7%
1 537296
 
6.9%
2 531779
 
6.9%
3 358379
 
4.6%
4 342085
 
4.4%
5 272813
 
3.5%
6 243991
 
3.1%
9 232590
 
3.0%
Other values (21) 539764
 
7.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7756988
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1964308
25.3%
0 1751829
22.6%
b 982154
12.7%
1 537296
 
6.9%
2 531779
 
6.9%
3 358379
 
4.6%
4 342085
 
4.4%
5 272813
 
3.5%
6 243991
 
3.1%
9 232590
 
3.0%
Other values (21) 539764
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7756988
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1964308
25.3%
0 1751829
22.6%
b 982154
12.7%
1 537296
 
6.9%
2 531779
 
6.9%
3 358379
 
4.6%
4 342085
 
4.4%
5 272813
 
3.5%
6 243991
 
3.1%
9 232590
 
3.0%
Other values (21) 539764
 
7.0%

NATTMPTS
Real number (ℝ)

Missing 

Distinct44
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean4.48771883
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.268219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile14
Maximum44
Range43
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.995216872
Coefficient of variation (CV)0.8902556117
Kurtosis2.504061636
Mean4.48771883
Median Absolute Deviation (MAD)2
Skewness1.53688799
Sum4407631
Variance15.96175786
MonotonicityNot monotonic
2025-05-10T13:45:07.306199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 246812
 
10.4%
2 174732
 
7.3%
3 121627
 
5.1%
4 89301
 
3.8%
5 70489
 
3.0%
6 53222
 
2.2%
7 42875
 
1.8%
8 31587
 
1.3%
15 28649
 
1.2%
9 26458
 
1.1%
Other values (34) 96402
 
4.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 246812
10.4%
2 174732
7.3%
3 121627
5.1%
4 89301
 
3.8%
5 70489
 
3.0%
ValueCountFrequency (%)
44 1
 
< 0.1%
43 4
< 0.1%
42 3
< 0.1%
41 5
< 0.1%
40 4
< 0.1%

NRECSEL
Real number (ℝ)

Missing 

Distinct1968
Distinct (%)0.2%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean14877.60182
Minimum76
Maximum160699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.343280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile1122
Q12568
median6343
Q320095
95-th percentile54705
Maximum160699
Range160623
Interquartile range (IQR)17527

Descriptive statistics

Standard deviation20241.25965
Coefficient of variation (CV)1.360518979
Kurtosis15.83446406
Mean14877.60182
Median Absolute Deviation (MAD)4705
Skewness3.21475242
Sum1.461209614 × 1010
Variance409708592.1
MonotonicityNot monotonic
2025-05-10T13:45:07.386450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61200 8596
 
0.4%
44880 7182
 
0.3%
68394 6766
 
0.3%
39804 6703
 
0.3%
30660 6218
 
0.3%
19400 5343
 
0.2%
29913 5316
 
0.2%
54629 5086
 
0.2%
50908 5034
 
0.2%
15737 4988
 
0.2%
Other values (1958) 920922
38.7%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
76 30
< 0.1%
100 23
< 0.1%
118 32
< 0.1%
152 31
< 0.1%
200 3
 
< 0.1%
ValueCountFrequency (%)
160699 4817
0.2%
144813 1902
 
0.1%
86737 907
 
< 0.1%
72942 3881
0.2%
69750 3398
0.1%

NRECSTR
Real number (ℝ)

Missing 

Distinct8713
Distinct (%)0.9%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2070546.634
Minimum65
Maximum46349248.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.429388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile12323
Q162647
median173167
Q31367972.34
95-th percentile10903020.99
Maximum46349248.22
Range46349183.22
Interquartile range (IQR)1305325.34

Descriptive statistics

Standard deviation5392957.339
Coefficient of variation (CV)2.60460559
Kurtosis29.74918992
Mean2070546.634
Median Absolute Deviation (MAD)147564.5
Skewness4.908188445
Sum2.033595659 × 1012
Variance2.908398886 × 1013
MonotonicityNot monotonic
2025-05-10T13:45:07.469946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6878758.742 5086
 
0.2%
2324682.011 5034
 
0.2%
2380961.549 3990
 
0.2%
16009777.65 3881
 
0.2%
1646545.991 3467
 
0.1%
3936301.607 3462
 
0.1%
46349248.22 3416
 
0.1%
9259244.092 3398
 
0.1%
150000 3366
 
0.1%
6960720.799 3055
 
0.1%
Other values (8703) 943999
39.7%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
65 18
< 0.1%
393 12
< 0.1%
440 27
< 0.1%
442 3
 
< 0.1%
449 8
 
< 0.1%
ValueCountFrequency (%)
46349248.22 3416
0.1%
45331313.61 1917
0.1%
33639704.08 2591
0.1%
32459745.6 1784
0.1%
27120763.89 1415
0.1%

PVTRESID
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing1567830
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean1.000072641
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.502730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.008522646225
Coefficient of variation (CV)0.00852202718
Kurtosis13761.47463
Mean1.000072641
Median Absolute Deviation (MAD)0
Skewness117.3176915
Sum812276
Variance7.263549868 × 10-5
MonotonicityNot monotonic
2025-05-10T13:45:07.531291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 812158
34.1%
2 59
 
< 0.1%
(Missing) 1567830
65.9%
ValueCountFrequency (%)
1 812158
34.1%
2 59
 
< 0.1%
ValueCountFrequency (%)
2 59
 
< 0.1%
1 812158
34.1%

CELLFON
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)< 0.1%
Missing1567838
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean1.000003694
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.559999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.001921879675
Coefficient of variation (CV)0.001921872576
Kurtosis270733
Mean1.000003694
Median Absolute Deviation (MAD)0
Skewness520.321375
Sum812212
Variance3.693621485 × 10-6
MonotonicityNot monotonic
2025-05-10T13:45:07.589747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 812206
34.1%
2 3
 
< 0.1%
(Missing) 1567838
65.9%
ValueCountFrequency (%)
1 812206
34.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
2 3
 
< 0.1%
1 812206
34.1%

CHCVISN1
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1904362
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean1.851382743
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.616946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5261082113
Coefficient of variation (CV)0.2841704198
Kurtosis58.36652516
Mean1.851382743
Median Absolute Deviation (MAD)0
Skewness4.557292422
Sum880675
Variance0.27678985
MonotonicityNot monotonic
2025-05-10T13:45:07.825665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 390346
 
16.4%
1 82316
 
3.5%
7 1494
 
0.1%
3 1092
 
< 0.1%
9 437
 
< 0.1%
(Missing) 1904362
80.0%
ValueCountFrequency (%)
1 82316
 
3.5%
2 390346
16.4%
3 1092
 
< 0.1%
7 1494
 
0.1%
9 437
 
< 0.1%
ValueCountFrequency (%)
9 437
 
< 0.1%
7 1494
 
0.1%
3 1092
 
< 0.1%
2 390346
16.4%
1 82316
 
3.5%

AGE
Real number (ℝ)

Missing 

Distinct84
Distinct (%)< 0.1%
Missing1397894
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean54.77773931
Minimum7
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.862735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile23
Q142
median56
Q368
95-th percentile83
Maximum99
Range92
Interquartile range (IQR)26

Descriptive statistics

Standard deviation17.97908159
Coefficient of variation (CV)0.3282187586
Kurtosis-0.5663996631
Mean54.77773931
Median Absolute Deviation (MAD)13
Skewness-0.2328722682
Sum53800121
Variance323.247375
MonotonicityNot monotonic
2025-05-10T13:45:07.901687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 23452
 
1.0%
65 22612
 
1.0%
64 22390
 
0.9%
62 22336
 
0.9%
55 21458
 
0.9%
58 21369
 
0.9%
63 21319
 
0.9%
57 21204
 
0.9%
56 20796
 
0.9%
59 20687
 
0.9%
Other values (74) 764530
32.1%
(Missing) 1397894
58.7%
ValueCountFrequency (%)
7 784
 
< 0.1%
9 8760
0.4%
18 6467
0.3%
19 6141
0.3%
20 6466
0.3%
ValueCountFrequency (%)
99 604
< 0.1%
98 107
 
< 0.1%
97 195
 
< 0.1%
96 297
< 0.1%
95 445
< 0.1%

HISPANC2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.959343443
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:07.931980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5420867341
Coefficient of variation (CV)0.2766675419
Kurtosis105.933019
Mean1.959343443
Median Absolute Deviation (MAD)0
Skewness8.535924091
Sum1924377
Variance0.2938580272
MonotonicityNot monotonic
2025-05-10T13:45:07.961920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 901845
37.9%
1 74588
 
3.1%
9 3026
 
0.1%
7 2695
 
0.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 74588
 
3.1%
2 901845
37.9%
7 2695
 
0.1%
9 3026
 
0.1%
ValueCountFrequency (%)
9 3026
 
0.1%
7 2695
 
0.1%
2 901845
37.9%
1 74588
 
3.1%

MRACE
Text

Missing 

Distinct397
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Memory size18.2 MiB
2025-05-10T13:45:08.039531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.64429509
Min length4

Characters and Unicode

Total characters4561413
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)< 0.1%

Sample

1st rowb'1'
2nd rowb'1'
3rd rowb'2'
4th rowb'1'
5th rowb'1'
ValueCountFrequency (%)
b'18 505204
51.4%
b'1 292555
29.8%
b'28 44189
 
4.5%
b'2 40112
 
4.1%
b'38 14469
 
1.5%
b'68 13623
 
1.4%
b'6 12670
 
1.3%
b'58 10490
 
1.1%
b'9 9730
 
1.0%
b'158 6223
 
0.6%
Other values (385) 32893
 
3.3%
2025-05-10T13:45:08.162375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1964308
43.1%
b 982154
21.5%
1 815105
17.9%
8 608943
 
13.3%
2 88339
 
1.9%
6 29212
 
0.6%
5 27468
 
0.6%
3 24117
 
0.5%
9 10256
 
0.2%
4 7814
 
0.2%
Other values (3) 3697
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4561413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1964308
43.1%
b 982154
21.5%
1 815105
17.9%
8 608943
 
13.3%
2 88339
 
1.9%
6 29212
 
0.6%
5 27468
 
0.6%
3 24117
 
0.5%
9 10256
 
0.2%
4 7814
 
0.2%
Other values (3) 3697
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4561413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1964308
43.1%
b 982154
21.5%
1 815105
17.9%
8 608943
 
13.3%
2 88339
 
1.9%
6 29212
 
0.6%
5 27468
 
0.6%
3 24117
 
0.5%
9 10256
 
0.2%
4 7814
 
0.2%
Other values (3) 3697
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4561413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1964308
43.1%
b 982154
21.5%
1 815105
17.9%
8 608943
 
13.3%
2 88339
 
1.9%
6 29212
 
0.6%
5 27468
 
0.6%
3 24117
 
0.5%
9 10256
 
0.2%
4 7814
 
0.2%
Other values (3) 3697
 
0.1%

ORACE2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2359732
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean2.890819591
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.202470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.402083023
Coefficient of variation (CV)0.8309349466
Kurtosis0.06908506633
Mean2.890819591
Median Absolute Deviation (MAD)1
Skewness1.09154894
Sum58727
Variance5.770002848
MonotonicityNot monotonic
2025-05-10T13:45:08.234332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 9915
 
0.4%
4 2072
 
0.1%
2 2055
 
0.1%
5 1708
 
0.1%
3 1349
 
0.1%
7 1333
 
0.1%
9 992
 
< 0.1%
6 780
 
< 0.1%
8 111
 
< 0.1%
(Missing) 2359732
99.1%
ValueCountFrequency (%)
1 9915
0.4%
2 2055
 
0.1%
3 1349
 
0.1%
4 2072
 
0.1%
5 1708
 
0.1%
ValueCountFrequency (%)
9 992
< 0.1%
8 111
 
< 0.1%
7 1333
0.1%
6 780
< 0.1%
5 1708
0.1%

EMPLOY
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing1398887
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean3.841881039
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.265734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.826324722
Coefficient of variation (CV)0.7356616962
Kurtosis-1.72876291
Mean3.841881039
Median Absolute Deviation (MAD)2
Skewness0.2231342471
Sum3769500
Variance7.988111432
MonotonicityNot monotonic
2025-05-10T13:45:08.297393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 403482
 
17.0%
7 274208
 
11.5%
2 79075
 
3.3%
8 71760
 
3.0%
5 66940
 
2.8%
3 31538
 
1.3%
4 26283
 
1.1%
6 23660
 
1.0%
9 4214
 
0.2%
(Missing) 1398887
58.8%
ValueCountFrequency (%)
1 403482
17.0%
2 79075
 
3.3%
3 31538
 
1.3%
4 26283
 
1.1%
5 66940
 
2.8%
ValueCountFrequency (%)
9 4214
 
0.2%
8 71760
 
3.0%
7 274208
11.5%
6 23660
 
1.0%
5 66940
 
2.8%

CTYCODE1
Real number (ℝ)

Missing 

Distinct250
Distinct (%)< 0.1%
Missing1467968
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean104.7335373
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.337132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q117
median49
Q3105
95-th percentile510
Maximum999
Range998
Interquartile range (IQR)88

Descriptive statistics

Standard deviation193.6724047
Coefficient of variation (CV)1.849191859
Kurtosis12.90709943
Mean104.7335373
Median Absolute Deviation (MAD)38
Skewness3.643639711
Sum95525260
Variance37509.00033
MonotonicityNot monotonic
2025-05-10T13:45:08.378167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 40161
 
1.7%
3 39658
 
1.7%
5 31505
 
1.3%
13 26265
 
1.1%
999 23139
 
1.0%
17 22056
 
0.9%
9 21621
 
0.9%
31 21046
 
0.9%
7 20989
 
0.9%
35 19938
 
0.8%
Other values (240) 645701
27.1%
(Missing) 1467968
61.7%
ValueCountFrequency (%)
1 40161
1.7%
3 39658
1.7%
5 31505
1.3%
6 346
 
< 0.1%
7 20989
0.9%
ValueCountFrequency (%)
999 23139
1.0%
888 8783
 
0.4%
840 16
 
< 0.1%
830 19
 
< 0.1%
820 8
 
< 0.1%

FLUSHOT5
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1435971
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean1.607994483
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.410540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7881375784
Coefficient of variation (CV)0.4901369915
Kurtosis44.85398859
Mean1.607994483
Median Absolute Deviation (MAD)0
Skewness5.178005459
Sum1518069
Variance0.6211608426
MonotonicityNot monotonic
2025-05-10T13:45:08.440491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 518027
 
21.8%
1 418421
 
17.6%
9 5099
 
0.2%
7 2529
 
0.1%
(Missing) 1435971
60.3%
ValueCountFrequency (%)
1 418421
17.6%
2 518027
21.8%
7 2529
 
0.1%
9 5099
 
0.2%
ValueCountFrequency (%)
9 5099
 
0.2%
7 2529
 
0.1%
2 518027
21.8%
1 418421
17.6%

PCPSAAD1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2237599
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.60309025
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.471942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.302930823
Coefficient of variation (CV)0.8127619906
Kurtosis15.71686845
Mean1.60309025
Median Absolute Deviation (MAD)0
Skewness3.852746527
Sum228357
Variance1.69762873
MonotonicityNot monotonic
2025-05-10T13:45:08.503380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 88187
 
3.7%
2 48441
 
2.0%
7 4546
 
0.2%
9 1274
 
0.1%
(Missing) 2237599
94.0%
ValueCountFrequency (%)
1 88187
3.7%
2 48441
2.0%
7 4546
 
0.2%
9 1274
 
0.1%
ValueCountFrequency (%)
9 1274
 
0.1%
7 4546
 
0.2%
2 48441
2.0%
1 88187
3.7%

HIVRISK3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1457507
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean2.048735014
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.533970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7102693859
Coefficient of variation (CV)0.3466867999
Kurtosis86.0470227
Mean2.048735014
Median Absolute Deviation (MAD)0
Skewness9.097063818
Sum1890040
Variance0.5044826005
MonotonicityNot monotonic
2025-05-10T13:45:08.564977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 892992
37.5%
1 20047
 
0.8%
9 8751
 
0.4%
7 750
 
< 0.1%
(Missing) 1457507
61.2%
ValueCountFrequency (%)
1 20047
 
0.8%
2 892992
37.5%
7 750
 
< 0.1%
9 8751
 
0.4%
ValueCountFrequency (%)
9 8751
 
0.4%
7 750
 
< 0.1%
2 892992
37.5%
1 20047
 
0.8%

VIREDIF2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)0.1%
Missing2365608
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.340882333
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.595338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.393690296
Coefficient of variation (CV)1.022558999
Kurtosis3.096207718
Mean2.340882333
Median Absolute Deviation (MAD)0
Skewness2.097920151
Sum33800
Variance5.729753232
MonotonicityNot monotonic
2025-05-10T13:45:08.627367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 8120
 
0.3%
2 2868
 
0.1%
9 1438
 
0.1%
3 1362
 
0.1%
4 445
 
< 0.1%
5 139
 
< 0.1%
7 33
 
< 0.1%
6 31
 
< 0.1%
8 3
 
< 0.1%
(Missing) 2365608
99.4%
ValueCountFrequency (%)
1 8120
0.3%
2 2868
 
0.1%
3 1362
 
0.1%
4 445
 
< 0.1%
5 139
 
< 0.1%
ValueCountFrequency (%)
9 1438
0.1%
8 3
 
< 0.1%
7 33
 
< 0.1%
6 31
 
< 0.1%
5 139
 
< 0.1%

SSBSUGR1
Real number (ℝ)

Missing 

Distinct105
Distinct (%)0.1%
Missing2263130
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean549.1133283
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.665717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1301
median320
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)587

Descriptive statistics

Standard deviation334.5165976
Coefficient of variation (CV)0.609194096
Kurtosis-1.841968975
Mean549.1133283
Median Absolute Deviation (MAD)219
Skewness-0.03213531798
Sum64200683
Variance111901.3541
MonotonicityNot monotonic
2025-05-10T13:45:08.707259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 54043
 
2.3%
101 9434
 
0.4%
301 7626
 
0.3%
302 7421
 
0.3%
201 3869
 
0.2%
303 3583
 
0.2%
202 3519
 
0.1%
102 3258
 
0.1%
305 3031
 
0.1%
203 2350
 
0.1%
Other values (95) 18783
 
0.8%
(Missing) 2263130
95.1%
ValueCountFrequency (%)
101 9434
0.4%
102 3258
 
0.1%
103 1592
 
0.1%
104 634
 
< 0.1%
105 392
 
< 0.1%
ValueCountFrequency (%)
999 1435
 
0.1%
888 54043
2.3%
777 938
 
< 0.1%
399 12
 
< 0.1%
390 8
 
< 0.1%

SSBFRUT1
Real number (ℝ)

Missing 

Distinct96
Distinct (%)0.1%
Missing2263217
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean648.2164598
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.747355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1303
median888
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)585

Descriptive statistics

Standard deviation316.2407237
Coefficient of variation (CV)0.4878628411
Kurtosis-1.502365556
Mean648.2164598
Median Absolute Deviation (MAD)0
Skewness-0.6023076208
Sum75731129
Variance100008.1954
MonotonicityNot monotonic
2025-05-10T13:45:08.787701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 70648
 
3.0%
101 5800
 
0.2%
302 5570
 
0.2%
301 4830
 
0.2%
305 3129
 
0.1%
303 2754
 
0.1%
202 2678
 
0.1%
201 2651
 
0.1%
310 2277
 
0.1%
203 1913
 
0.1%
Other values (86) 14580
 
0.6%
(Missing) 2263217
95.1%
ValueCountFrequency (%)
101 5800
0.2%
102 1608
 
0.1%
103 729
 
< 0.1%
104 318
 
< 0.1%
105 202
 
< 0.1%
ValueCountFrequency (%)
999 1440
 
0.1%
888 70648
3.0%
777 1252
 
0.1%
399 16
 
< 0.1%
390 2
 
< 0.1%

SSBCALRI
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing2240233
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean8.033923641
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.821376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile55
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.07801994
Coefficient of variation (CV)1.876794031
Kurtosis11.84293343
Mean8.033923641
Median Absolute Deviation (MAD)1
Skewness3.501268772
Sum1123255
Variance227.3466852
MonotonicityNot monotonic
2025-05-10T13:45:08.853030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 55026
 
2.3%
4 28471
 
1.2%
2 17324
 
0.7%
1 13204
 
0.6%
3 11470
 
0.5%
55 9390
 
0.4%
6 3249
 
0.1%
99 721
 
< 0.1%
77 536
 
< 0.1%
8 423
 
< 0.1%
(Missing) 2240233
94.1%
ValueCountFrequency (%)
1 13204
 
0.6%
2 17324
 
0.7%
3 11470
 
0.5%
4 28471
1.2%
5 55026
2.3%
ValueCountFrequency (%)
99 721
 
< 0.1%
77 536
 
< 0.1%
55 9390
0.4%
8 423
 
< 0.1%
6 3249
 
0.1%

NUMBURN2
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2338410
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean6.727165742
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.882553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.565599158
Coefficient of variation (CV)0.381378913
Kurtosis0.6343314096
Mean6.727165742
Median Absolute Deviation (MAD)0
Skewness-1.58603549
Sum280099
Variance6.58229904
MonotonicityNot monotonic
2025-05-10T13:45:08.914235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 32776
 
1.4%
1 4904
 
0.2%
2 2086
 
0.1%
3 678
 
< 0.1%
5 574
 
< 0.1%
7 265
 
< 0.1%
4 226
 
< 0.1%
9 128
 
< 0.1%
(Missing) 2338410
98.3%
ValueCountFrequency (%)
1 4904
0.2%
2 2086
0.1%
3 678
 
< 0.1%
4 226
 
< 0.1%
5 574
 
< 0.1%
ValueCountFrequency (%)
9 128
 
< 0.1%
8 32776
1.4%
7 265
 
< 0.1%
5 574
 
< 0.1%
4 226
 
< 0.1%

QLREST2
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.1%
Missing2331377
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean38.54043559
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:08.951268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median20
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)83

Descriptive statistics

Standard deviation36.7981472
Coefficient of variation (CV)0.9547932357
Kurtosis-1.573727937
Mean38.54043559
Median Absolute Deviation (MAD)17
Skewness0.499205084
Sum1875763
Variance1354.103637
MonotonicityNot monotonic
2025-05-10T13:45:08.988066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 15294
 
0.6%
30 5607
 
0.2%
2 3685
 
0.2%
5 3430
 
0.1%
10 3069
 
0.1%
15 2799
 
0.1%
3 2624
 
0.1%
20 2233
 
0.1%
4 1991
 
0.1%
1 1532
 
0.1%
Other values (23) 6406
 
0.3%
(Missing) 2331377
98.0%
ValueCountFrequency (%)
1 1532
0.1%
2 3685
0.2%
3 2624
0.1%
4 1991
0.1%
5 3430
0.1%
ValueCountFrequency (%)
99 468
 
< 0.1%
88 15294
0.6%
77 1158
 
< 0.1%
30 5607
 
0.2%
29 131
 
< 0.1%

SLEPTIME
Real number (ℝ)

Missing 

Distinct23
Distinct (%)< 0.1%
Missing2331399
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean8.892780793
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.023431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.06718397
Coefficient of variation (CV)1.356964065
Kurtosis41.23946855
Mean8.892780793
Median Absolute Deviation (MAD)1
Skewness6.465672681
Sum432616
Variance145.616929
MonotonicityNot monotonic
2025-05-10T13:45:09.057606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7 13961
 
0.6%
8 13384
 
0.6%
6 10454
 
0.4%
5 3323
 
0.1%
9 3020
 
0.1%
10 1319
 
0.1%
4 1218
 
0.1%
77 610
 
< 0.1%
99 493
 
< 0.1%
12 288
 
< 0.1%
Other values (13) 578
 
< 0.1%
(Missing) 2331399
98.0%
ValueCountFrequency (%)
1 19
 
< 0.1%
2 70
 
< 0.1%
3 254
 
< 0.1%
4 1218
 
0.1%
5 3323
0.1%
ValueCountFrequency (%)
99 493
< 0.1%
77 610
< 0.1%
24 4
 
< 0.1%
22 1
 
< 0.1%
20 7
 
< 0.1%

SLEPSNOR
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2331408
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean2.149242378
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.086604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.923875335
Coefficient of variation (CV)0.8951411691
Kurtosis3.174502269
Mean2.149242378
Median Absolute Deviation (MAD)1
Skewness2.128589387
Sum104537
Variance3.701296303
MonotonicityNot monotonic
2025-05-10T13:45:09.116301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22943
 
1.0%
2 19860
 
0.8%
7 5325
 
0.2%
9 511
 
< 0.1%
(Missing) 2331408
98.0%
ValueCountFrequency (%)
1 22943
1.0%
2 19860
0.8%
7 5325
 
0.2%
9 511
 
< 0.1%
ValueCountFrequency (%)
9 511
 
< 0.1%
7 5325
 
0.2%
2 19860
0.8%
1 22943
1.0%

SLEPDAY
Real number (ℝ)

Missing 

Distinct33
Distinct (%)0.1%
Missing2331424
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean62.89398022
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.152426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.30505261
Coefficient of variation (CV)0.5931418633
Kurtosis-1.198929098
Mean62.89398022
Median Absolute Deviation (MAD)0
Skewness-0.854036921
Sum3058094
Variance1391.666951
MonotonicityNot monotonic
2025-05-10T13:45:09.189444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 31846
 
1.3%
2 3419
 
0.1%
1 2113
 
0.1%
3 1802
 
0.1%
30 1761
 
0.1%
5 1318
 
0.1%
77 1101
 
< 0.1%
4 1051
 
< 0.1%
10 909
 
< 0.1%
15 769
 
< 0.1%
Other values (23) 2534
 
0.1%
(Missing) 2331424
98.0%
ValueCountFrequency (%)
1 2113
0.1%
2 3419
0.1%
3 1802
0.1%
4 1051
 
< 0.1%
5 1318
 
0.1%
ValueCountFrequency (%)
99 457
 
< 0.1%
88 31846
1.3%
77 1101
 
< 0.1%
30 1761
 
0.1%
29 14
 
< 0.1%

SLEPDRIV
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2331446
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean2.110635584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.219547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7926373187
Coefficient of variation (CV)0.3755443739
Kurtosis60.54905635
Mean2.110635584
Median Absolute Deviation (MAD)0
Skewness7.363710745
Sum102579
Variance0.6282739191
MonotonicityNot monotonic
2025-05-10T13:45:09.249545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 44046
 
1.9%
3 2635
 
0.1%
1 1290
 
0.1%
9 528
 
< 0.1%
4 58
 
< 0.1%
7 44
 
< 0.1%
(Missing) 2331446
98.0%
ValueCountFrequency (%)
1 1290
 
0.1%
2 44046
1.9%
3 2635
 
0.1%
4 58
 
< 0.1%
7 44
 
< 0.1%
ValueCountFrequency (%)
9 528
 
< 0.1%
7 44
 
< 0.1%
4 58
 
< 0.1%
3 2635
 
0.1%
2 44046
1.9%

WRKHCF1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

DIRCONT1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

DRHPAD1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

HAVHPAD
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHINGLE1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2352415
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean1.922444991
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.279450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7390227787
Coefficient of variation (CV)0.3844181665
Kurtosis37.09960676
Mean1.922444991
Median Absolute Deviation (MAD)0
Skewness5.118978374
Sum53121
Variance0.5461546675
MonotonicityNot monotonic
2025-05-10T13:45:09.309342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 22959
 
1.0%
1 4261
 
0.2%
7 383
 
< 0.1%
9 29
 
< 0.1%
(Missing) 2352415
98.8%
ValueCountFrequency (%)
1 4261
 
0.2%
2 22959
1.0%
7 383
 
< 0.1%
9 29
 
< 0.1%
ValueCountFrequency (%)
9 29
 
< 0.1%
7 383
 
< 0.1%
2 22959
1.0%
1 4261
 
0.2%

TNSARCV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2345538
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1.6193167
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.338544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.507563362
Coefficient of variation (CV)0.9309873491
Kurtosis8.096362838
Mean1.6193167
Median Absolute Deviation (MAD)0
Skewness3.047388355
Sum55881
Variance2.27274729
MonotonicityNot monotonic
2025-05-10T13:45:09.369693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 24836
 
1.0%
2 7336
 
0.3%
7 2330
 
0.1%
9 7
 
< 0.1%
(Missing) 2345538
98.6%
ValueCountFrequency (%)
1 24836
1.0%
2 7336
 
0.3%
7 2330
 
0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
9 7
 
< 0.1%
7 2330
 
0.1%
2 7336
 
0.3%
1 24836
1.0%

TNSARCNT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2355221
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.837025699
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.399360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.871249654
Coefficient of variation (CV)1.01863009
Kurtosis3.573739639
Mean1.837025699
Median Absolute Deviation (MAD)0
Skewness2.298468077
Sum45606
Variance3.501575266
MonotonicityNot monotonic
2025-05-10T13:45:09.430018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17946
 
0.8%
2 4104
 
0.2%
7 2766
 
0.1%
9 10
 
< 0.1%
(Missing) 2355221
99.0%
ValueCountFrequency (%)
1 17946
0.8%
2 4104
 
0.2%
7 2766
 
0.1%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
7 2766
 
0.1%
2 4104
 
0.2%
1 17946
0.8%

TNSASHT1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2359348
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean4.032658583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.459052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.692128604
Coefficient of variation (CV)0.667581584
Kurtosis-1.896846923
Mean4.032658583
Median Absolute Deviation (MAD)1
Skewness0.1613046514
Sum83472
Variance7.247556421
MonotonicityNot monotonic
2025-05-10T13:45:09.490211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 9233
 
0.4%
2 7287
 
0.3%
1 4168
 
0.2%
9 11
 
< 0.1%
(Missing) 2359348
99.1%
ValueCountFrequency (%)
1 4168
0.2%
2 7287
0.3%
7 9233
0.4%
9 11
 
< 0.1%
ValueCountFrequency (%)
9 11
 
< 0.1%
7 9233
0.4%
2 7287
0.3%
1 4168
0.2%

PCPSADEC
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.1%
Missing2374286
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean2.348897761
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.520164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.113421552
Coefficient of variation (CV)0.4740187378
Kurtosis8.999645623
Mean2.348897761
Median Absolute Deviation (MAD)1
Skewness1.875620921
Sum13532
Variance1.239707552
MonotonicityNot monotonic
2025-05-10T13:45:09.552174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2071
 
0.1%
3 1863
 
0.1%
1 1265
 
0.1%
4 496
 
< 0.1%
9 45
 
< 0.1%
7 21
 
< 0.1%
(Missing) 2374286
99.8%
ValueCountFrequency (%)
1 1265
0.1%
2 2071
0.1%
3 1863
0.1%
4 496
 
< 0.1%
7 21
 
< 0.1%
ValueCountFrequency (%)
9 45
 
< 0.1%
7 21
 
< 0.1%
4 496
 
< 0.1%
3 1863
0.1%
2 2071
0.1%

GPWELPR3
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2363181
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.948891261
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.583236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.958861622
Coefficient of variation (CV)0.4920036543
Kurtosis14.07534905
Mean1.948891261
Median Absolute Deviation (MAD)0
Skewness2.811038557
Sum32870
Variance0.9194156102
MonotonicityNot monotonic
2025-05-10T13:45:09.614207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 8852
 
0.4%
1 5039
 
0.2%
3 2688
 
0.1%
7 260
 
< 0.1%
9 27
 
< 0.1%
(Missing) 2363181
99.3%
ValueCountFrequency (%)
1 5039
0.2%
2 8852
0.4%
3 2688
 
0.1%
7 260
 
< 0.1%
9 27
 
< 0.1%
ValueCountFrequency (%)
9 27
 
< 0.1%
7 260
 
< 0.1%
3 2688
 
0.1%
2 8852
0.4%
1 5039
0.2%

GP3DYWTR
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363201
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.482369702
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.644767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7943202878
Coefficient of variation (CV)0.535844929
Kurtosis31.55403144
Mean1.482369702
Median Absolute Deviation (MAD)0
Skewness4.534045452
Sum24972
Variance0.6309447196
MonotonicityNot monotonic
2025-05-10T13:45:09.675059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 9739
 
0.4%
2 6912
 
0.3%
7 173
 
< 0.1%
9 22
 
< 0.1%
(Missing) 2363201
99.3%
ValueCountFrequency (%)
1 9739
0.4%
2 6912
0.3%
7 173
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
9 22
 
< 0.1%
7 173
 
< 0.1%
2 6912
0.3%
1 9739
0.4%

GP3DYFD1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363205
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.202588766
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.705117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.727645377
Coefficient of variation (CV)0.6050658358
Kurtosis55.38104455
Mean1.202588766
Median Absolute Deviation (MAD)0
Skewness6.803365091
Sum20254
Variance0.5294677947
MonotonicityNot monotonic
2025-05-10T13:45:09.736956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14402
 
0.6%
2 2256
 
0.1%
7 158
 
< 0.1%
9 26
 
< 0.1%
(Missing) 2363205
99.3%
ValueCountFrequency (%)
1 14402
0.6%
2 2256
 
0.1%
7 158
 
< 0.1%
9 26
 
< 0.1%
ValueCountFrequency (%)
9 26
 
< 0.1%
7 158
 
< 0.1%
2 2256
 
0.1%
1 14402
0.6%

GP3DYPRS
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2363209
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.333828246
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.766664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8316278518
Coefficient of variation (CV)0.6234894594
Kurtosis20.9937772
Mean1.333828246
Median Absolute Deviation (MAD)0
Skewness3.74693389
Sum22459
Variance0.691604884
MonotonicityNot monotonic
2025-05-10T13:45:09.798465image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 13724
 
0.6%
3 1866
 
0.1%
2 1129
 
< 0.1%
7 96
 
< 0.1%
9 23
 
< 0.1%
(Missing) 2363209
99.3%
ValueCountFrequency (%)
1 13724
0.6%
2 1129
 
< 0.1%
3 1866
 
0.1%
7 96
 
< 0.1%
9 23
 
< 0.1%
ValueCountFrequency (%)
9 23
 
< 0.1%
7 96
 
< 0.1%
3 1866
 
0.1%
2 1129
 
< 0.1%
1 13724
0.6%

GPBATRAD
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363213
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.33592729
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.828386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7964354726
Coefficient of variation (CV)0.5961667814
Kurtosis36.06237967
Mean1.33592729
Median Absolute Deviation (MAD)0
Skewness5.247030969
Sum22489
Variance0.6343094621
MonotonicityNot monotonic
2025-05-10T13:45:09.859543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 12293
 
0.5%
2 4325
 
0.2%
7 199
 
< 0.1%
9 17
 
< 0.1%
(Missing) 2363213
99.3%
ValueCountFrequency (%)
1 12293
0.5%
2 4325
 
0.2%
7 199
 
< 0.1%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 199
 
< 0.1%
2 4325
 
0.2%
1 12293
0.5%

GPFLSLIT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363218
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.068988056
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.889108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4531080677
Coefficient of variation (CV)0.4238663519
Kurtosis168.3861418
Mean1.068988056
Median Absolute Deviation (MAD)0
Skewness11.89990294
Sum17990
Variance0.205306921
MonotonicityNot monotonic
2025-05-10T13:45:09.920497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 16031
 
0.7%
2 731
 
< 0.1%
7 53
 
< 0.1%
9 14
 
< 0.1%
(Missing) 2363218
99.3%
ValueCountFrequency (%)
1 16031
0.7%
2 731
 
< 0.1%
7 53
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
9 14
 
< 0.1%
7 53
 
< 0.1%
2 731
 
< 0.1%
1 16031
0.7%

GPEMRCM1
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2363226
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.357945425
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:09.953871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.579178781
Coefficient of variation (CV)0.6697266037
Kurtosis2.831006181
Mean2.357945425
Median Absolute Deviation (MAD)0
Skewness1.977752622
Sum39663
Variance2.493805624
MonotonicityNot monotonic
2025-05-10T13:45:09.985108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 10995
 
0.5%
1 3473
 
0.1%
6 1351
 
0.1%
7 600
 
< 0.1%
5 233
 
< 0.1%
3 127
 
< 0.1%
9 36
 
< 0.1%
4 6
 
< 0.1%
(Missing) 2363226
99.3%
ValueCountFrequency (%)
1 3473
 
0.1%
2 10995
0.5%
3 127
 
< 0.1%
4 6
 
< 0.1%
5 233
 
< 0.1%
ValueCountFrequency (%)
9 36
 
< 0.1%
7 600
< 0.1%
6 1351
0.1%
5 233
 
< 0.1%
4 6
 
< 0.1%

GPEMRIN1
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2363236
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean3.028433764
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.016172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.049976548
Coefficient of variation (CV)0.676909818
Kurtosis-1.035911163
Mean3.028433764
Median Absolute Deviation (MAD)1
Skewness0.7526739697
Sum50911
Variance4.202403847
MonotonicityNot monotonic
2025-05-10T13:45:10.047549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 6648
 
0.3%
1 4094
 
0.2%
6 3556
 
0.1%
3 932
 
< 0.1%
5 814
 
< 0.1%
7 692
 
< 0.1%
4 40
 
< 0.1%
9 35
 
< 0.1%
(Missing) 2363236
99.3%
ValueCountFrequency (%)
1 4094
0.2%
2 6648
0.3%
3 932
 
< 0.1%
4 40
 
< 0.1%
5 814
 
< 0.1%
ValueCountFrequency (%)
9 35
 
< 0.1%
7 692
 
< 0.1%
6 3556
0.1%
5 814
 
< 0.1%
4 40
 
< 0.1%

GPVACPL1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363243
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.883063556
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.078043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7449654421
Coefficient of variation (CV)0.3956135414
Kurtosis38.35383106
Mean1.883063556
Median Absolute Deviation (MAD)0
Skewness5.046435166
Sum31643
Variance0.55497351
MonotonicityNot monotonic
2025-05-10T13:45:10.109788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 13417
 
0.6%
1 3160
 
0.1%
7 197
 
< 0.1%
9 30
 
< 0.1%
(Missing) 2363243
99.3%
ValueCountFrequency (%)
1 3160
 
0.1%
2 13417
0.6%
7 197
 
< 0.1%
9 30
 
< 0.1%
ValueCountFrequency (%)
9 30
 
< 0.1%
7 197
 
< 0.1%
2 13417
0.6%
1 3160
 
0.1%

GPMNDEVC
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2363254
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.485619008
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.139535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.543763233
Coefficient of variation (CV)1.039138046
Kurtosis9.26528207
Mean1.485619008
Median Absolute Deviation (MAD)0
Skewness3.296407446
Sum24948
Variance2.383204918
MonotonicityNot monotonic
2025-05-10T13:45:10.170636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14506
 
0.6%
2 1131
 
< 0.1%
7 1112
 
< 0.1%
9 44
 
< 0.1%
(Missing) 2363254
99.3%
ValueCountFrequency (%)
1 14506
0.6%
2 1131
 
< 0.1%
7 1112
 
< 0.1%
9 44
 
< 0.1%
ValueCountFrequency (%)
9 44
 
< 0.1%
7 1112
 
< 0.1%
2 1131
 
< 0.1%
1 14506
0.6%

GPNOTEV1
Real number (ℝ)

Missing 

Distinct11
Distinct (%)0.5%
Missing2377762
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean14.3107221
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.203011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median9
Q39
95-th percentile77
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.85156729
Coefficient of variation (CV)1.596814411
Kurtosis5.080171781
Mean14.3107221
Median Absolute Deviation (MAD)2
Skewness2.594737451
Sum32700
Variance522.1941275
MonotonicityNot monotonic
2025-05-10T13:45:10.234121image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9 1088
 
< 0.1%
3 309
 
< 0.1%
77 201
 
< 0.1%
2 194
 
< 0.1%
6 123
 
< 0.1%
4 94
 
< 0.1%
5 90
 
< 0.1%
7 65
 
< 0.1%
8 50
 
< 0.1%
99 37
 
< 0.1%
(Missing) 2377762
99.9%
ValueCountFrequency (%)
1 34
 
< 0.1%
2 194
< 0.1%
3 309
< 0.1%
4 94
 
< 0.1%
5 90
 
< 0.1%
ValueCountFrequency (%)
99 37
 
< 0.1%
77 201
 
< 0.1%
9 1088
< 0.1%
8 50
 
< 0.1%
7 65
 
< 0.1%

VHCOMBAT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377880
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.871250577
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.261460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.496545562
Coefficient of variation (CV)0.799756901
Kurtosis16.14504164
Mean1.871250577
Median Absolute Deviation (MAD)0
Skewness3.966180908
Sum4055
Variance2.23964862
MonotonicityNot monotonic
2025-05-10T13:45:10.291085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1216
 
0.1%
1 865
 
< 0.1%
9 78
 
< 0.1%
7 8
 
< 0.1%
(Missing) 2377880
99.9%
ValueCountFrequency (%)
1 865
< 0.1%
2 1216
0.1%
7 8
 
< 0.1%
9 78
 
< 0.1%
ValueCountFrequency (%)
9 78
 
< 0.1%
7 8
 
< 0.1%
2 1216
0.1%
1 865
< 0.1%

VHDRPTSD
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377880
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.146285187
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.320825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433446214
Coefficient of variation (CV)0.6678731341
Kurtosis16.95800313
Mean2.146285187
Median Absolute Deviation (MAD)0
Skewness4.151501112
Sum4651
Variance2.05476805
MonotonicityNot monotonic
2025-05-10T13:45:10.351167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1774
 
0.1%
1 301
 
< 0.1%
9 79
 
< 0.1%
7 13
 
< 0.1%
(Missing) 2377880
99.9%
ValueCountFrequency (%)
1 301
 
< 0.1%
2 1774
0.1%
7 13
 
< 0.1%
9 79
 
< 0.1%
ValueCountFrequency (%)
9 79
 
< 0.1%
7 13
 
< 0.1%
2 1774
0.1%
1 301
 
< 0.1%

VHDRTBI
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377880
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.235809875
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.380521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.344682966
Coefficient of variation (CV)0.6014299249
Kurtosis20.577749
Mean2.235809875
Median Absolute Deviation (MAD)0
Skewness4.682981349
Sum4845
Variance1.808172278
MonotonicityNot monotonic
2025-05-10T13:45:10.411589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2018
 
0.1%
9 78
 
< 0.1%
1 65
 
< 0.1%
7 6
 
< 0.1%
(Missing) 2377880
99.9%
ValueCountFrequency (%)
1 65
 
< 0.1%
2 2018
0.1%
7 6
 
< 0.1%
9 78
 
< 0.1%
ValueCountFrequency (%)
9 78
 
< 0.1%
7 6
 
< 0.1%
2 2018
0.1%
1 65
 
< 0.1%

VHCOUNSL
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.3%
Missing2377881
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean3.971375808
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.441293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.264221693
Coefficient of variation (CV)0.3183334326
Kurtosis8.708063176
Mean3.971375808
Median Absolute Deviation (MAD)0
Skewness1.671037268
Sum8602
Variance1.59825649
MonotonicityNot monotonic
2025-05-10T13:45:10.473898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 1882
 
0.1%
1 117
 
< 0.1%
9 85
 
< 0.1%
2 62
 
< 0.1%
3 18
 
< 0.1%
7 2
 
< 0.1%
(Missing) 2377881
99.9%
ValueCountFrequency (%)
1 117
 
< 0.1%
2 62
 
< 0.1%
3 18
 
< 0.1%
4 1882
0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
9 85
 
< 0.1%
7 2
 
< 0.1%
4 1882
0.1%
3 18
 
< 0.1%
2 62
 
< 0.1%

VHTAKLIF
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377890
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.272600834
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.503954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.479248968
Coefficient of variation (CV)0.6509057576
Kurtosis16.26858426
Mean2.272600834
Median Absolute Deviation (MAD)0
Skewness4.202713328
Sum4902
Variance2.188177509
MonotonicityNot monotonic
2025-05-10T13:45:10.533380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1959
 
0.1%
1 99
 
< 0.1%
9 96
 
< 0.1%
7 3
 
< 0.1%
(Missing) 2377890
99.9%
ValueCountFrequency (%)
1 99
 
< 0.1%
2 1959
0.1%
7 3
 
< 0.1%
9 96
 
< 0.1%
ValueCountFrequency (%)
9 96
 
< 0.1%
7 3
 
< 0.1%
2 1959
0.1%
1 99
 
< 0.1%

VHSUICID
Real number (ℝ)

Missing 

Distinct5
Distinct (%)5.1%
Missing2379948
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean3.797979798
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.563068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9365568505
Coefficient of variation (CV)0.2465934261
Kurtosis12.73061697
Mean3.797979798
Median Absolute Deviation (MAD)0
Skewness-0.03913596728
Sum376
Variance0.8771387343
MonotonicityNot monotonic
2025-05-10T13:45:10.592652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 87
 
< 0.1%
1 6
 
< 0.1%
3 3
 
< 0.1%
2 2
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2379948
> 99.9%
ValueCountFrequency (%)
1 6
 
< 0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 87
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
4 87
< 0.1%
3 3
 
< 0.1%
2 2
 
< 0.1%
1 6
 
< 0.1%

COPDTEST
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2366619
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.489574024
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.622056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.461237707
Coefficient of variation (CV)0.980976899
Kurtosis16.38648237
Mean1.489574024
Median Absolute Deviation (MAD)0
Skewness4.09047352
Sum20002
Variance2.135215637
MonotonicityNot monotonic
2025-05-10T13:45:10.652704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 10422
 
0.4%
2 2404
 
0.1%
7 323
 
< 0.1%
9 279
 
< 0.1%
(Missing) 2366619
99.4%
ValueCountFrequency (%)
1 10422
0.4%
2 2404
 
0.1%
7 323
 
< 0.1%
9 279
 
< 0.1%
ValueCountFrequency (%)
9 279
 
< 0.1%
7 323
 
< 0.1%
2 2404
 
0.1%
1 10422
0.4%

COPDQOL
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2366624
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.580123668
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.682537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.340640191
Coefficient of variation (CV)0.8484400418
Kurtosis20.17237005
Mean1.580123668
Median Absolute Deviation (MAD)0
Skewness4.359457297
Sum21210
Variance1.797316122
MonotonicityNot monotonic
2025-05-10T13:45:10.713855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 8449
 
0.4%
2 4525
 
0.2%
9 284
 
< 0.1%
7 165
 
< 0.1%
(Missing) 2366624
99.4%
ValueCountFrequency (%)
1 8449
0.4%
2 4525
0.2%
7 165
 
< 0.1%
9 284
 
< 0.1%
ValueCountFrequency (%)
9 284
 
< 0.1%
7 165
 
< 0.1%
2 4525
0.2%
1 8449
0.4%

COPDDOC
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2366628
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.756390193
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.743527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.273362378
Coefficient of variation (CV)0.7249883218
Kurtosis22.02359777
Mean1.756390193
Median Absolute Deviation (MAD)0
Skewness4.436447055
Sum23569
Variance1.621451747
MonotonicityNot monotonic
2025-05-10T13:45:10.774901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7234
 
0.3%
1 5797
 
0.2%
9 294
 
< 0.1%
7 94
 
< 0.1%
(Missing) 2366628
99.4%
ValueCountFrequency (%)
1 5797
0.2%
2 7234
0.3%
7 94
 
< 0.1%
9 294
 
< 0.1%
ValueCountFrequency (%)
9 294
 
< 0.1%
7 94
 
< 0.1%
2 7234
0.3%
1 5797
0.2%

COPDHOSP
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2366632
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.018188595
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.805128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.167420993
Coefficient of variation (CV)0.578449901
Kurtosis26.89572014
Mean2.018188595
Median Absolute Deviation (MAD)0
Skewness4.986451375
Sum27074
Variance1.362871774
MonotonicityNot monotonic
2025-05-10T13:45:10.836332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 10897
 
0.5%
1 2156
 
0.1%
9 295
 
< 0.1%
7 67
 
< 0.1%
(Missing) 2366632
99.4%
ValueCountFrequency (%)
1 2156
 
0.1%
2 10897
0.5%
7 67
 
< 0.1%
9 295
 
< 0.1%
ValueCountFrequency (%)
9 295
 
< 0.1%
7 67
 
< 0.1%
2 10897
0.5%
1 2156
 
0.1%

COPDMEDS
Real number (ℝ)

Missing 

Distinct32
Distinct (%)0.2%
Missing2366643
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean38.2029245
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.872101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)86

Descriptive statistics

Standard deviation42.21871516
Coefficient of variation (CV)1.105117362
Kurtosis-1.8694263
Mean38.2029245
Median Absolute Deviation (MAD)3
Skewness0.335560196
Sum512072
Variance1782.419909
MonotonicityNot monotonic
2025-05-10T13:45:10.909901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
88 4988
 
0.2%
1 2873
 
0.1%
2 2308
 
0.1%
3 1310
 
0.1%
4 581
 
< 0.1%
77 345
 
< 0.1%
99 274
 
< 0.1%
5 264
 
< 0.1%
6 140
 
< 0.1%
9 73
 
< 0.1%
Other values (22) 248
 
< 0.1%
(Missing) 2366643
99.4%
ValueCountFrequency (%)
1 2873
0.1%
2 2308
0.1%
3 1310
0.1%
4 581
 
< 0.1%
5 264
 
< 0.1%
ValueCountFrequency (%)
99 274
 
< 0.1%
88 4988
0.2%
77 345
 
< 0.1%
55 1
 
< 0.1%
43 3
 
< 0.1%

ACEDEPRS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2298698
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean2.022053129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.940146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.147815711
Coefficient of variation (CV)0.5676486409
Kurtosis27.49707497
Mean2.022053129
Median Absolute Deviation (MAD)0
Skewness5.033842987
Sum164492
Variance1.317480905
MonotonicityNot monotonic
2025-05-10T13:45:10.969728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 66727
 
2.8%
1 12447
 
0.5%
9 1683
 
0.1%
7 492
 
< 0.1%
(Missing) 2298698
96.6%
ValueCountFrequency (%)
1 12447
 
0.5%
2 66727
2.8%
7 492
 
< 0.1%
9 1683
 
0.1%
ValueCountFrequency (%)
9 1683
 
0.1%
7 492
 
< 0.1%
2 66727
2.8%
1 12447
 
0.5%

ACEDRINK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2298748
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.925337335
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:10.999477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.14833124
Coefficient of variation (CV)0.5964311911
Kurtosis28.02762012
Mean1.925337335
Median Absolute Deviation (MAD)0
Skewness4.973570848
Sum156528
Variance1.318664637
MonotonicityNot monotonic
2025-05-10T13:45:11.029056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 60281
 
2.5%
1 19086
 
0.8%
9 1678
 
0.1%
7 254
 
< 0.1%
(Missing) 2298748
96.6%
ValueCountFrequency (%)
1 19086
 
0.8%
2 60281
2.5%
7 254
 
< 0.1%
9 1678
 
0.1%
ValueCountFrequency (%)
9 1678
 
0.1%
7 254
 
< 0.1%
2 60281
2.5%
1 19086
 
0.8%

ACEDRUGS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2298761
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean2.080456659
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.059275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.062874326
Coefficient of variation (CV)0.5108851084
Kurtosis34.29552971
Mean2.080456659
Median Absolute Deviation (MAD)0
Skewness5.738963007
Sum169112
Variance1.129701832
MonotonicityNot monotonic
2025-05-10T13:45:11.089052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 73196
 
3.1%
1 6188
 
0.3%
9 1609
 
0.1%
7 293
 
< 0.1%
(Missing) 2298761
96.6%
ValueCountFrequency (%)
1 6188
 
0.3%
2 73196
3.1%
7 293
 
< 0.1%
9 1609
 
0.1%
ValueCountFrequency (%)
9 1609
 
0.1%
7 293
 
< 0.1%
2 73196
3.1%
1 6188
 
0.3%

ACEPRISN
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2298767
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean2.095792323
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.118137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.023681268
Coefficient of variation (CV)0.4884459479
Kurtosis38.7018011
Mean2.095792323
Median Absolute Deviation (MAD)0
Skewness6.16331382
Sum170346
Variance1.047923338
MonotonicityNot monotonic
2025-05-10T13:45:11.148707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 75448
 
3.2%
1 4096
 
0.2%
9 1601
 
0.1%
7 135
 
< 0.1%
(Missing) 2298767
96.6%
ValueCountFrequency (%)
1 4096
 
0.2%
2 75448
3.2%
7 135
 
< 0.1%
9 1601
 
0.1%
ValueCountFrequency (%)
9 1601
 
0.1%
7 135
 
< 0.1%
2 75448
3.2%
1 4096
 
0.2%

ACEDIVRC
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298772
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.998904952
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.178574image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.241655974
Coefficient of variation (CV)0.6211680912
Kurtosis22.37400344
Mean1.998904952
Median Absolute Deviation (MAD)0
Skewness4.561558645
Sum162461
Variance1.541709557
MonotonicityNot monotonic
2025-05-10T13:45:11.209151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 62219
 
2.6%
1 16540
 
0.7%
9 1640
 
0.1%
8 591
 
< 0.1%
7 285
 
< 0.1%
(Missing) 2298772
96.6%
ValueCountFrequency (%)
1 16540
 
0.7%
2 62219
2.6%
7 285
 
< 0.1%
8 591
 
< 0.1%
9 1640
 
0.1%
ValueCountFrequency (%)
9 1640
 
0.1%
8 591
 
< 0.1%
7 285
 
< 0.1%
2 62219
2.6%
1 16540
 
0.7%

ACEPUNCH
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298789
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.512269561
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.238486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.454175801
Coefficient of variation (CV)0.9615850495
Kurtosis15.97111247
Mean1.512269561
Median Absolute Deviation (MAD)0
Skewness3.890259161
Sum122884
Variance2.11462726
MonotonicityNot monotonic
2025-05-10T13:45:11.270541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 66379
 
2.8%
3 9015
 
0.4%
2 3092
 
0.1%
9 1936
 
0.1%
7 836
 
< 0.1%
(Missing) 2298789
96.6%
ValueCountFrequency (%)
1 66379
2.8%
2 3092
 
0.1%
3 9015
 
0.4%
7 836
 
< 0.1%
9 1936
 
0.1%
ValueCountFrequency (%)
9 1936
 
0.1%
7 836
 
< 0.1%
3 9015
 
0.4%
2 3092
 
0.1%
1 66379
2.8%

ACEHURT
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298804
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.469923563
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.302790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.381221401
Coefficient of variation (CV)0.9396552557
Kurtosis19.03117169
Mean1.469923563
Median Absolute Deviation (MAD)0
Skewness4.192922026
Sum119421
Variance1.907772559
MonotonicityNot monotonic
2025-05-10T13:45:11.334691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 67042
 
2.8%
3 8997
 
0.4%
2 2976
 
0.1%
9 1920
 
0.1%
7 308
 
< 0.1%
(Missing) 2298804
96.6%
ValueCountFrequency (%)
1 67042
2.8%
2 2976
 
0.1%
3 8997
 
0.4%
7 308
 
< 0.1%
9 1920
 
0.1%
ValueCountFrequency (%)
9 1920
 
0.1%
7 308
 
< 0.1%
3 8997
 
0.4%
2 2976
 
0.1%
1 67042
2.8%

ACESWEAR
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298829
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.813588121
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.366154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.520979707
Coefficient of variation (CV)0.8386577359
Kurtosis10.68096168
Mean1.813588121
Median Absolute Deviation (MAD)0
Skewness2.986536022
Sum147296
Variance2.31337927
MonotonicityNot monotonic
2025-05-10T13:45:11.397201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 53335
 
2.2%
3 20397
 
0.9%
2 4726
 
0.2%
9 1999
 
0.1%
7 761
 
< 0.1%
(Missing) 2298829
96.6%
ValueCountFrequency (%)
1 53335
2.2%
2 4726
 
0.2%
3 20397
 
0.9%
7 761
 
< 0.1%
9 1999
 
0.1%
ValueCountFrequency (%)
9 1999
 
0.1%
7 761
 
< 0.1%
3 20397
 
0.9%
2 4726
 
0.2%
1 53335
2.2%

ACETOUCH
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298842
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.409272828
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.427266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.429029818
Coefficient of variation (CV)1.01401928
Kurtosis20.29946791
Mean1.409272828
Median Absolute Deviation (MAD)0
Skewness4.48400678
Sum114440
Variance2.04212622
MonotonicityNot monotonic
2025-05-10T13:45:11.459437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 70473
 
3.0%
3 5238
 
0.2%
2 2959
 
0.1%
9 2295
 
0.1%
7 240
 
< 0.1%
(Missing) 2298842
96.6%
ValueCountFrequency (%)
1 70473
3.0%
2 2959
 
0.1%
3 5238
 
0.2%
7 240
 
< 0.1%
9 2295
 
0.1%
ValueCountFrequency (%)
9 2295
 
0.1%
7 240
 
< 0.1%
3 5238
 
0.2%
2 2959
 
0.1%
1 70473
3.0%

ACETTHEM
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298873
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.352785375
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.489823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.392992123
Coefficient of variation (CV)1.029721454
Kurtosis22.73048876
Mean1.352785375
Median Absolute Deviation (MAD)0
Skewness4.786846564
Sum109811
Variance1.940427054
MonotonicityNot monotonic
2025-05-10T13:45:11.521779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 72950
 
3.1%
3 3628
 
0.2%
9 2215
 
0.1%
2 2125
 
0.1%
7 256
 
< 0.1%
(Missing) 2298873
96.6%
ValueCountFrequency (%)
1 72950
3.1%
2 2125
 
0.1%
3 3628
 
0.2%
7 256
 
< 0.1%
9 2215
 
0.1%
ValueCountFrequency (%)
9 2215
 
0.1%
7 256
 
< 0.1%
3 3628
 
0.2%
2 2125
 
0.1%
1 72950
3.1%

ACEHVSEX
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2298909
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.301449383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.552290image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.370143097
Coefficient of variation (CV)1.052782471
Kurtosis25.19673117
Mean1.301449383
Median Absolute Deviation (MAD)0
Skewness5.096081613
Sum105597
Variance1.877292105
MonotonicityNot monotonic
2025-05-10T13:45:11.582831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 75447
 
3.2%
9 2228
 
0.1%
3 2142
 
0.1%
2 1115
 
< 0.1%
7 206
 
< 0.1%
(Missing) 2298909
96.6%
ValueCountFrequency (%)
1 75447
3.2%
2 1115
 
< 0.1%
3 2142
 
0.1%
7 206
 
< 0.1%
9 2228
 
0.1%
ValueCountFrequency (%)
9 2228
 
0.1%
7 206
 
< 0.1%
3 2142
 
0.1%
2 1115
 
< 0.1%
1 75447
3.2%

RCHISLAT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2256045
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean2.071506911
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:11.793568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.32658058
Coefficient of variation (CV)0.6403939919
Kurtosis20.7931352
Mean2.071506911
Median Absolute Deviation (MAD)0
Skewness4.504931587
Sum256871
Variance1.759816036
MonotonicityNot monotonic
2025-05-10T13:45:11.826525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 99645
 
4.2%
1 20103
 
0.8%
9 3850
 
0.2%
7 404
 
< 0.1%
(Missing) 2256045
94.8%
ValueCountFrequency (%)
1 20103
 
0.8%
2 99645
4.2%
7 404
 
< 0.1%
9 3850
 
0.2%
ValueCountFrequency (%)
9 3850
 
0.2%
7 404
 
< 0.1%
2 99645
4.2%
1 20103
 
0.8%

RCSRACE
Text

Missing 

Distinct269
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Memory size18.2 MiB
2025-05-10T13:45:11.891748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.236689969
Min length3

Characters and Unicode

Total characters3178928
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)< 0.1%

Sample

1st rowb'18'
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 858249
87.4%
b'18 76047
 
7.7%
b'1 12933
 
1.3%
b'28 7904
 
0.8%
b'9 4599
 
0.5%
b'68 4247
 
0.4%
b'2 2951
 
0.3%
b'58 2917
 
0.3%
b'38 2837
 
0.3%
b'128 1109
 
0.1%
Other values (259) 8362
 
0.9%
2025-05-10T13:45:11.990221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1964308
61.8%
b 982154
30.9%
8 100618
 
3.2%
1 94568
 
3.0%
2 12742
 
0.4%
6 6233
 
0.2%
3 6091
 
0.2%
9 4922
 
0.2%
5 4395
 
0.1%
4 2148
 
0.1%
Other values (2) 749
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3178928
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1964308
61.8%
b 982154
30.9%
8 100618
 
3.2%
1 94568
 
3.0%
2 12742
 
0.4%
6 6233
 
0.2%
3 6091
 
0.2%
9 4922
 
0.2%
5 4395
 
0.1%
4 2148
 
0.1%
Other values (2) 749
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3178928
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1964308
61.8%
b 982154
30.9%
8 100618
 
3.2%
1 94568
 
3.0%
2 12742
 
0.4%
6 6233
 
0.2%
3 6091
 
0.2%
9 4922
 
0.2%
5 4395
 
0.1%
4 2148
 
0.1%
Other values (2) 749
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3178928
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1964308
61.8%
b 982154
30.9%
8 100618
 
3.2%
1 94568
 
3.0%
2 12742
 
0.4%
6 6233
 
0.2%
3 6091
 
0.2%
9 4922
 
0.2%
5 4395
 
0.1%
4 2148
 
0.1%
Other values (2) 749
 
< 0.1%

RCSBRACE
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.1%
Missing2373738
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean3.412902203
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.027653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.520536757
Coefficient of variation (CV)0.7385317852
Kurtosis-0.593630311
Mean3.412902203
Median Absolute Deviation (MAD)2
Skewness0.7839338707
Sum21532
Variance6.353105542
MonotonicityNot monotonic
2025-05-10T13:45:12.058809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2223
 
0.1%
3 853
 
< 0.1%
7 816
 
< 0.1%
4 755
 
< 0.1%
2 709
 
< 0.1%
9 396
 
< 0.1%
5 306
 
< 0.1%
6 251
 
< 0.1%
(Missing) 2373738
99.7%
ValueCountFrequency (%)
1 2223
0.1%
2 709
 
< 0.1%
3 853
 
< 0.1%
4 755
 
< 0.1%
5 306
 
< 0.1%
ValueCountFrequency (%)
9 396
< 0.1%
7 816
< 0.1%
6 251
 
< 0.1%
5 306
 
< 0.1%
4 755
< 0.1%

FLUSHCH2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2344026
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.022681214
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.089537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.791370435
Coefficient of variation (CV)0.8856415054
Kurtosis6.768157579
Mean2.022681214
Median Absolute Deviation (MAD)1
Skewness2.755541054
Sum72859
Variance3.209008036
MonotonicityNot monotonic
2025-05-10T13:45:12.120788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16750
 
0.7%
1 16256
 
0.7%
7 2016
 
0.1%
9 999
 
< 0.1%
(Missing) 2344026
98.5%
ValueCountFrequency (%)
1 16256
0.7%
2 16750
0.7%
7 2016
 
0.1%
9 999
 
< 0.1%
ValueCountFrequency (%)
9 999
 
< 0.1%
7 2016
 
0.1%
2 16750
0.7%
1 16256
0.7%

RCVFVCH4
Text

Missing 

Distinct64
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Memory size18.2 MiB
2025-05-10T13:45:12.161082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.099129057
Min length3

Characters and Unicode

Total characters3043822
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 965915
98.3%
b'102011 3211
 
0.3%
b'777777 2817
 
0.3%
b'112011 2099
 
0.2%
b'092011 1120
 
0.1%
b'122011 818
 
0.1%
b'102012 773
 
0.1%
b'102010 732
 
0.1%
b'112010 569
 
0.1%
b'012012 524
 
0.1%
Other values (54) 3576
 
0.4%
2025-05-10T13:45:12.251322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1964308
64.5%
b 982154
32.3%
1 34071
 
1.1%
0 24433
 
0.8%
2 18048
 
0.6%
7 17282
 
0.6%
9 2197
 
0.1%
8 621
 
< 0.1%
3 260
 
< 0.1%
4 169
 
< 0.1%
Other values (2) 279
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3043822
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1964308
64.5%
b 982154
32.3%
1 34071
 
1.1%
0 24433
 
0.8%
2 18048
 
0.6%
7 17282
 
0.6%
9 2197
 
0.1%
8 621
 
< 0.1%
3 260
 
< 0.1%
4 169
 
< 0.1%
Other values (2) 279
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3043822
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1964308
64.5%
b 982154
32.3%
1 34071
 
1.1%
0 24433
 
0.8%
2 18048
 
0.6%
7 17282
 
0.6%
9 2197
 
0.1%
8 621
 
< 0.1%
3 260
 
< 0.1%
4 169
 
< 0.1%
Other values (2) 279
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3043822
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1964308
64.5%
b 982154
32.3%
1 34071
 
1.1%
0 24433
 
0.8%
2 18048
 
0.6%
7 17282
 
0.6%
9 2197
 
0.1%
8 621
 
< 0.1%
3 260
 
< 0.1%
4 169
 
< 0.1%
Other values (2) 279
 
< 0.1%

WHRTST8
Real number (ℝ)

Missing 

Distinct10
Distinct (%)0.2%
Missing2373416
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean4.460714824
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.292782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation11.23246424
Coefficient of variation (CV)2.518086154
Kurtosis39.73605736
Mean4.460714824
Median Absolute Deviation (MAD)2
Skewness6.301670068
Sum29579
Variance126.1682528
MonotonicityNot monotonic
2025-05-10T13:45:12.325106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 3070
 
0.1%
4 1352
 
0.1%
3 991
 
< 0.1%
8 550
 
< 0.1%
7 238
 
< 0.1%
2 195
 
< 0.1%
77 131
 
< 0.1%
5 62
 
< 0.1%
6 31
 
< 0.1%
99 11
 
< 0.1%
(Missing) 2373416
99.7%
ValueCountFrequency (%)
1 3070
0.1%
2 195
 
< 0.1%
3 991
 
< 0.1%
4 1352
0.1%
5 62
 
< 0.1%
ValueCountFrequency (%)
99 11
 
< 0.1%
77 131
 
< 0.1%
8 550
< 0.1%
7 238
< 0.1%
6 31
 
< 0.1%

HIVRDTST
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.4%
Missing2379009
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean2.165703276
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.355400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.411995393
Coefficient of variation (CV)0.6519800792
Kurtosis8.007014003
Mean2.165703276
Median Absolute Deviation (MAD)0
Skewness2.933582289
Sum2248
Variance1.99373099
MonotonicityNot monotonic
2025-05-10T13:45:12.385657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 766
 
< 0.1%
1 199
 
< 0.1%
7 70
 
< 0.1%
9 3
 
< 0.1%
(Missing) 2379009
> 99.9%
ValueCountFrequency (%)
1 199
 
< 0.1%
2 766
< 0.1%
7 70
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
7 70
 
< 0.1%
2 766
< 0.1%
1 199
 
< 0.1%

CALLBACK
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2288023
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean1.294510128
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.414925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6094156557
Coefficient of variation (CV)0.4707693224
Kurtosis68.80794834
Mean1.294510128
Median Absolute Deviation (MAD)0
Skewness6.094937743
Sum119126
Variance0.3713874414
MonotonicityNot monotonic
2025-05-10T13:45:12.445678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 66869
 
2.8%
2 24862
 
1.0%
9 241
 
< 0.1%
7 52
 
< 0.1%
(Missing) 2288023
96.1%
ValueCountFrequency (%)
1 66869
2.8%
2 24862
 
1.0%
7 52
 
< 0.1%
9 241
 
< 0.1%
ValueCountFrequency (%)
9 241
 
< 0.1%
7 52
 
< 0.1%
2 24862
 
1.0%
1 66869
2.8%

ADLTCHLD
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1984585
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean0.2507699855
Minimum5.397605347 × 10-79
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.474761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.509284856
Coefficient of variation (CV)2.030884418
Kurtosis2.98319445
Mean0.2507699855
Median Absolute Deviation (MAD)0
Skewness1.934702622
Sum99170
Variance0.2593710645
MonotonicityNot monotonic
2025-05-10T13:45:12.503928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5.397605347 × 10-79310366
 
13.0%
1 71073
 
3.0%
2 13976
 
0.6%
3 46
 
< 0.1%
7 1
 
< 0.1%
(Missing) 1984585
83.4%
ValueCountFrequency (%)
5.397605347 × 10-79310366
13.0%
1 71073
 
3.0%
2 13976
 
0.6%
3 46
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
3 46
 
< 0.1%
2 13976
 
0.6%
1 71073
 
3.0%
5.397605347 × 10-79310366
13.0%

RSPSTATE
Real number (ℝ)

Missing 

Distinct54
Distinct (%)0.4%
Missing2367496
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean28.13138395
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.541414image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q113
median27
Q342
95-th percentile53
Maximum99
Range98
Interquartile range (IQR)29

Descriptive statistics

Standard deviation15.98331886
Coefficient of variation (CV)0.5681668165
Kurtosis-1.226766395
Mean28.13138395
Median Absolute Deviation (MAD)15
Skewness0.059122711
Sum353077
Variance255.4664819
MonotonicityNot monotonic
2025-05-10T13:45:12.583199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 895
 
< 0.1%
12 794
 
< 0.1%
48 792
 
< 0.1%
36 587
 
< 0.1%
51 582
 
< 0.1%
24 515
 
< 0.1%
19 427
 
< 0.1%
4 419
 
< 0.1%
8 398
 
< 0.1%
37 394
 
< 0.1%
Other values (44) 6748
 
0.3%
(Missing) 2367496
99.5%
ValueCountFrequency (%)
1 128
 
< 0.1%
2 54
 
< 0.1%
4 419
< 0.1%
5 100
 
< 0.1%
6 895
< 0.1%
ValueCountFrequency (%)
99 1
 
< 0.1%
72 6
 
< 0.1%
66 8
 
< 0.1%
56 106
< 0.1%
55 136
< 0.1%

_RAW
Real number (ℝ)

Missing 

Distinct41
Distinct (%)< 0.1%
Missing1567834
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean1.799025789
Minimum0.1666666667
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.621741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.1666666667
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum22
Range21.83333333
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7949573475
Coefficient of variation (CV)0.4418821299
Kurtosis5.624679414
Mean1.799025789
Median Absolute Deviation (MAD)0
Skewness1.417308016
Sum1461192.133
Variance0.6319571843
MonotonicityNot monotonic
2025-05-10T13:45:12.657816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2 410246
 
17.2%
1 292309
 
12.3%
3 72065
 
3.0%
4 22582
 
0.9%
5 4777
 
0.2%
0.5 3997
 
0.2%
1.5 2573
 
0.1%
0.6666666667 1151
 
< 0.1%
6 1112
 
< 0.1%
0.3333333333 384
 
< 0.1%
Other values (31) 1017
 
< 0.1%
(Missing) 1567834
65.9%
ValueCountFrequency (%)
0.1666666667 17
 
< 0.1%
0.2 16
 
< 0.1%
0.25 61
 
< 0.1%
0.3333333333 384
< 0.1%
0.4 37
 
< 0.1%
ValueCountFrequency (%)
22 1
< 0.1%
18 2
< 0.1%
17 1
< 0.1%
16 1
< 0.1%
15 1
< 0.1%

_WT2
Real number (ℝ)

Missing 

Distinct14419
Distinct (%)1.5%
Missing1397901
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean119.9244175
Minimum0.1920261393
Maximum4830.894309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.695915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.1920261393
5-th percentile6.269785817
Q123.55179907
median57.56011444
Q3132.7490192
95-th percentile426.8273791
Maximum4830.894309
Range4830.702283
Interquartile range (IQR)109.1972202

Descriptive statistics

Standard deviation198.2948354
Coefficient of variation (CV)1.653498424
Kurtosis78.30869236
Mean119.9244175
Median Absolute Deviation (MAD)41.09095669
Skewness6.150482696
Sum117783287
Variance39320.84173
MonotonicityNot monotonic
2025-05-10T13:45:12.737705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125.917713 5086
 
0.2%
45.66437517 5034
 
0.2%
158.9122657 4244
 
0.2%
73.28967122 3990
 
0.2%
219.4864091 3881
 
0.2%
36.95867636 3467
 
0.1%
57.02636119 3462
 
0.1%
71.16695763 3448
 
0.1%
710.9652753 3416
 
0.1%
132.7490192 3398
 
0.1%
Other values (14409) 942720
39.6%
(Missing) 1397901
58.7%
ValueCountFrequency (%)
0.1920261393 1
 
< 0.1%
0.2632101656 1
 
< 0.1%
0.2943819918 2
< 0.1%
0.3364515027 1
 
< 0.1%
0.3649495226 3
< 0.1%
ValueCountFrequency (%)
4830.894309 173
< 0.1%
4183.551489 1
 
< 0.1%
3150.328129 1
 
< 0.1%
3100.50631 1
 
< 0.1%
3021.530681 1
 
< 0.1%

_REGION
Real number (ℝ)

Missing 

Distinct21
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean3.477692908
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.773914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile12
Maximum21
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.84599226
Coefficient of variation (CV)1.105903357
Kurtosis3.931535025
Mean3.477692908
Median Absolute Deviation (MAD)0
Skewness1.991740805
Sum3415630
Variance14.79165647
MonotonicityNot monotonic
2025-05-10T13:45:12.809711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 504112
 
21.2%
2 88033
 
3.7%
3 68709
 
2.9%
4 58852
 
2.5%
5 50702
 
2.1%
6 49672
 
2.1%
7 32972
 
1.4%
8 27120
 
1.1%
9 20902
 
0.9%
10 15668
 
0.7%
Other values (11) 65412
 
2.7%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 504112
21.2%
2 88033
 
3.7%
3 68709
 
2.9%
4 58852
 
2.5%
5 50702
 
2.1%
ValueCountFrequency (%)
21 577
 
< 0.1%
20 2943
0.1%
19 4648
0.2%
18 6181
0.3%
17 4257
0.2%

_IMPAGE
Real number (ℝ)

Missing 

Distinct82
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean55.2343828
Minimum18
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.849707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile25
Q143
median57
Q368
95-th percentile83
Maximum99
Range81
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.40674439
Coefficient of variation (CV)0.3151432769
Kurtosis-0.6887591883
Mean55.2343828
Median Absolute Deviation (MAD)12
Skewness-0.1573166776
Sum54248670
Variance302.9947504
MonotonicityNot monotonic
2025-05-10T13:45:12.892632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 24722
 
1.0%
58 22908
 
1.0%
62 22850
 
1.0%
65 22634
 
1.0%
64 22460
 
0.9%
59 22339
 
0.9%
57 21871
 
0.9%
55 21708
 
0.9%
63 21575
 
0.9%
56 21262
 
0.9%
Other values (72) 757825
31.8%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
18 6467
0.3%
19 6141
0.3%
20 6467
0.3%
21 6934
0.3%
22 6933
0.3%
ValueCountFrequency (%)
99 604
< 0.1%
98 107
 
< 0.1%
97 195
 
< 0.1%
96 297
< 0.1%
95 445
< 0.1%

O_STATE
Real number (ℝ)

Missing 

Distinct53
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean29.97201559
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:12.934088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q119
median30
Q342
95-th percentile54
Maximum72
Range71
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.50886835
Coefficient of variation (CV)0.517444958
Kurtosis-0.5298030678
Mean29.97201559
Median Absolute Deviation (MAD)11
Skewness0.1602936629
Sum29437135
Variance240.5249975
MonotonicityNot monotonic
2025-05-10T13:45:12.976060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 45343
 
1.9%
25 44302
 
1.9%
20 32732
 
1.4%
6 31939
 
1.3%
42 31588
 
1.3%
34 31352
 
1.3%
53 29919
 
1.3%
27 27319
 
1.1%
45 25894
 
1.1%
8 25810
 
1.1%
Other values (43) 655956
27.6%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 16675
0.7%
2 7920
 
0.3%
4 13523
0.6%
5 9917
 
0.4%
6 31939
1.3%
ValueCountFrequency (%)
72 13003
0.5%
66 3919
 
0.2%
56 13281
0.6%
55 10578
0.4%
54 10768
0.5%

CRACEORG
Text

Missing 

Distinct170
Distinct (%)< 0.1%
Missing1904360
Missing (%)80.0%
Memory size18.2 MiB
2025-05-10T13:45:13.025169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.197180078
Min length3

Characters and Unicode

Total characters1520857
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)< 0.1%

Sample

1st rowb'1'
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 386793
81.3%
b'1 63377
 
13.3%
b'2 9209
 
1.9%
b'6 3621
 
0.8%
b'9 3510
 
0.7%
b'3 2299
 
0.5%
b'5 2059
 
0.4%
b'12 818
 
0.2%
b'13 552
 
0.1%
b'15 508
 
0.1%
Other values (160) 2941
 
0.6%
2025-05-10T13:45:13.107545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 951374
62.6%
b 475687
31.3%
1 66939
 
4.4%
2 10574
 
0.7%
6 4255
 
0.3%
3 3811
 
0.3%
9 3510
 
0.2%
5 2962
 
0.2%
4 1257
 
0.1%
7 488
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1520857
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 951374
62.6%
b 475687
31.3%
1 66939
 
4.4%
2 10574
 
0.7%
6 4255
 
0.3%
3 3811
 
0.3%
9 3510
 
0.2%
5 2962
 
0.2%
4 1257
 
0.1%
7 488
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1520857
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 951374
62.6%
b 475687
31.3%
1 66939
 
4.4%
2 10574
 
0.7%
6 4255
 
0.3%
3 3811
 
0.3%
9 3510
 
0.2%
5 2962
 
0.2%
4 1257
 
0.1%
7 488
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1520857
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 951374
62.6%
b 475687
31.3%
1 66939
 
4.4%
2 10574
 
0.7%
6 4255
 
0.3%
3 3811
 
0.3%
9 3510
 
0.2%
5 2962
 
0.2%
4 1257
 
0.1%
7 488
 
< 0.1%

CRACEASC
Real number (ℝ)

Missing  Skewed 

Distinct64
Distinct (%)< 0.1%
Missing2208521
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean7.127071115
Minimum1
Maximum14666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.149944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum14666
Range14665
Interquartile range (IQR)1

Descriptive statistics

Standard deviation172.0269817
Coefficient of variation (CV)24.13712154
Kurtosis5174.386328
Mean7.127071115
Median Absolute Deviation (MAD)0
Skewness69.33040998
Sum1222478
Variance29593.28243
MonotonicityNot monotonic
2025-05-10T13:45:13.192100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 123834
 
5.2%
2 16647
 
0.7%
6 6630
 
0.3%
9 6582
 
0.3%
3 4492
 
0.2%
5 4132
 
0.2%
12 1882
 
0.1%
13 1431
 
0.1%
15 1207
 
0.1%
7 855
 
< 0.1%
Other values (54) 3834
 
0.2%
(Missing) 2208521
92.8%
ValueCountFrequency (%)
1 123834
5.2%
2 16647
 
0.7%
3 4492
 
0.2%
4 617
 
< 0.1%
5 4132
 
0.2%
ValueCountFrequency (%)
14666 1
 
< 0.1%
13456 11
< 0.1%
12346 4
 
< 0.1%
12345 12
< 0.1%
3456 1
 
< 0.1%

_CRACE
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2208521
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean5.859892961
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.228861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation19.41445314
Coefficient of variation (CV)3.313107129
Kurtosis18.22951249
Mean5.859892961
Median Absolute Deviation (MAD)0
Skewness4.470199209
Sum1005124
Variance376.9209908
MonotonicityNot monotonic
2025-05-10T13:45:13.260156image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 123834
 
5.2%
2 16647
 
0.7%
7 7737
 
0.3%
6 6630
 
0.3%
99 6582
 
0.3%
3 4492
 
0.2%
5 4132
 
0.2%
77 855
 
< 0.1%
4 617
 
< 0.1%
(Missing) 2208521
92.8%
ValueCountFrequency (%)
1 123834
5.2%
2 16647
 
0.7%
3 4492
 
0.2%
4 617
 
< 0.1%
5 4132
 
0.2%
ValueCountFrequency (%)
99 6582
0.3%
77 855
 
< 0.1%
7 7737
0.3%
6 6630
0.3%
5 4132
0.2%

_RAWCH
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2208378
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean1.817184038
Minimum0.3333333333
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.290577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3333333333
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2.666666667
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.785158101
Coefficient of variation (CV)0.4320740687
Kurtosis-1.273165014
Mean1.817184038
Median Absolute Deviation (MAD)1
Skewness0.3025844719
Sum311954.1667
Variance0.6164732435
MonotonicityNot monotonic
2025-05-10T13:45:13.323244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 68488
 
2.9%
2 61491
 
2.6%
3 39612
 
1.7%
0.5 1208
 
0.1%
1.5 611
 
< 0.1%
0.3333333333 135
 
< 0.1%
0.6666666667 124
 
< 0.1%
(Missing) 2208378
92.8%
ValueCountFrequency (%)
0.3333333333 135
 
< 0.1%
0.5 1208
 
0.1%
0.6666666667 124
 
< 0.1%
1 68488
2.9%
1.5 611
 
< 0.1%
ValueCountFrequency (%)
3 39612
1.7%
2 61491
2.6%
1.5 611
 
< 0.1%
1 68488
2.9%
0.6666666667 124
 
< 0.1%

_WT2CH
Real number (ℝ)

Missing 

Distinct5997
Distinct (%)3.5%
Missing2208378
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean169.1258924
Minimum0.1920261393
Maximum14492.68293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.359993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.1920261393
5-th percentile7.007632258
Q126.26367213
median65.575377
Q3158.9122657
95-th percentile658.4592274
Maximum14492.68293
Range14492.4909
Interquartile range (IQR)132.6485936

Descriptive statistics

Standard deviation355.4793249
Coefficient of variation (CV)2.101862227
Kurtosis100.9094421
Mean169.1258924
Median Absolute Deviation (MAD)48.21438573
Skewness7.140629312
Sum29033672.82
Variance126365.5504
MonotonicityNot monotonic
2025-05-10T13:45:13.405325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158.9122657 947
 
< 0.1%
79.45613287 880
 
< 0.1%
82.77541456 670
 
< 0.1%
165.5508291 666
 
< 0.1%
238.3683986 629
 
< 0.1%
219.4864091 612
 
< 0.1%
227.5795255 604
 
< 0.1%
113.7897627 599
 
< 0.1%
73.28967122 597
 
< 0.1%
38.38942182 562
 
< 0.1%
Other values (5987) 164903
 
6.9%
(Missing) 2208378
92.8%
ValueCountFrequency (%)
0.1920261393 1
 
< 0.1%
0.1920426216 1
 
< 0.1%
0.2880639323 1
 
< 0.1%
0.3840522785 38
< 0.1%
0.5887639836 20
< 0.1%
ValueCountFrequency (%)
14492.68293 2
 
< 0.1%
9661.788618 11
 
< 0.1%
4830.894309 11
 
< 0.1%
3903.876532 244
< 0.1%
3611.661944 64
 
< 0.1%

CHILDAGE
Real number (ℝ)

Missing 

Distinct258
Distinct (%)0.1%
Missing2207145
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean208.0170733
Minimum-11
Maximum1320
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)< 0.1%
Memory size18.2 MiB
2025-05-10T13:45:13.453074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11
5-th percentile15
Q172
median138
Q3192
95-th percentile999
Maximum1320
Range1331
Interquartile range (IQR)120

Descriptive statistics

Standard deviation262.7692652
Coefficient of variation (CV)1.263210087
Kurtosis3.975383558
Mean208.0170733
Median Absolute Deviation (MAD)59
Skewness2.311146418
Sum35966568
Variance69047.68672
MonotonicityNot monotonic
2025-05-10T13:45:13.497279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 12891
 
0.5%
777 6255
 
0.3%
204 1123
 
< 0.1%
207 1040
 
< 0.1%
213 1022
 
< 0.1%
211 1020
 
< 0.1%
215 1016
 
< 0.1%
196 1015
 
< 0.1%
205 1004
 
< 0.1%
214 1001
 
< 0.1%
Other values (248) 145515
 
6.1%
(Missing) 2207145
92.7%
ValueCountFrequency (%)
-11 1
< 0.1%
-9 2
< 0.1%
-8 2
< 0.1%
-7 1
< 0.1%
-6 1
< 0.1%
ValueCountFrequency (%)
1320 1
 
< 0.1%
999 12891
0.5%
777 6255
0.3%
464 1
 
< 0.1%
453 1
 
< 0.1%

_CLCPM01
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing2259896
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean4.458989105
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.530176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.194575215
Coefficient of variation (CV)0.492168777
Kurtosis-1.119674049
Mean4.458989105
Median Absolute Deviation (MAD)2
Skewness-0.05045950117
Sum535752
Variance4.816160373
MonotonicityNot monotonic
2025-05-10T13:45:13.561051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 20165
 
0.8%
6 17714
 
0.7%
1 15025
 
0.6%
3 14311
 
0.6%
4 14081
 
0.6%
2 13903
 
0.6%
7 13061
 
0.5%
8 11891
 
0.5%
(Missing) 2259896
95.0%
ValueCountFrequency (%)
1 15025
0.6%
2 13903
0.6%
3 14311
0.6%
4 14081
0.6%
5 20165
0.8%
ValueCountFrequency (%)
8 11891
0.5%
7 13061
0.5%
6 17714
0.7%
5 20165
0.8%
4 14081
0.6%

_CLCPM02
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2259896
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean1.606927949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.591319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.006140089
Coefficient of variation (CV)0.6261264482
Kurtosis1.20585216
Mean1.606927949
Median Absolute Deviation (MAD)0
Skewness1.541470002
Sum193074
Variance1.012317879
MonotonicityNot monotonic
2025-05-10T13:45:13.622685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 80621
 
3.4%
2 18127
 
0.8%
3 10513
 
0.4%
4 9790
 
0.4%
5 1100
 
< 0.1%
(Missing) 2259896
95.0%
ValueCountFrequency (%)
1 80621
3.4%
2 18127
 
0.8%
3 10513
 
0.4%
4 9790
 
0.4%
5 1100
 
< 0.1%
ValueCountFrequency (%)
5 1100
 
< 0.1%
4 9790
 
0.4%
3 10513
 
0.4%
2 18127
 
0.8%
1 80621
3.4%

_CLCPM03
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing2259896
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean3.014423517
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.655516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.022935499
Coefficient of variation (CV)0.6710853625
Kurtosis0.06474319715
Mean3.014423517
Median Absolute Deviation (MAD)2
Skewness0.8246011492
Sum362186
Variance4.092268032
MonotonicityNot monotonic
2025-05-10T13:45:13.684336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 42437
 
1.8%
4 19916
 
0.8%
3 15395
 
0.6%
2 15141
 
0.6%
5 12153
 
0.5%
6 8901
 
0.4%
7 2388
 
0.1%
8 1947
 
0.1%
9 1575
 
0.1%
10 298
 
< 0.1%
(Missing) 2259896
95.0%
ValueCountFrequency (%)
1 42437
1.8%
2 15141
 
0.6%
3 15395
 
0.6%
4 19916
0.8%
5 12153
 
0.5%
ValueCountFrequency (%)
10 298
 
< 0.1%
9 1575
 
0.1%
8 1947
 
0.1%
7 2388
 
0.1%
6 8901
0.4%

_CLCPM04
Real number (ℝ)

Missing 

Distinct14
Distinct (%)< 0.1%
Missing2259896
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean4.954207622
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.713427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile11
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.162914592
Coefficient of variation (CV)0.6384299637
Kurtosis-0.9086538869
Mean4.954207622
Median Absolute Deviation (MAD)3
Skewness0.4528054055
Sum595253
Variance10.00402872
MonotonicityNot monotonic
2025-05-10T13:45:13.745546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 20498
 
0.9%
3 19485
 
0.8%
9 13340
 
0.6%
2 11633
 
0.5%
7 10849
 
0.5%
4 10747
 
0.5%
5 9643
 
0.4%
6 7513
 
0.3%
8 6407
 
0.3%
11 4424
 
0.2%
Other values (4) 5612
 
0.2%
(Missing) 2259896
95.0%
ValueCountFrequency (%)
1 20498
0.9%
2 11633
0.5%
3 19485
0.8%
4 10747
0.5%
5 9643
0.4%
ValueCountFrequency (%)
14 200
 
< 0.1%
13 396
 
< 0.1%
12 1361
 
0.1%
11 4424
0.2%
10 3655
0.2%

_CLCPM05
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2259896
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.391540645
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.775062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8389615775
Coefficient of variation (CV)0.3508038132
Kurtosis-1.05842623
Mean2.391540645
Median Absolute Deviation (MAD)0
Skewness-0.8386921843
Sum287346
Variance0.7038565286
MonotonicityNot monotonic
2025-05-10T13:45:13.808157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 75016
 
3.2%
1 27972
 
1.2%
2 17163
 
0.7%
(Missing) 2259896
95.0%
ValueCountFrequency (%)
1 27972
 
1.2%
2 17163
 
0.7%
3 75016
3.2%
ValueCountFrequency (%)
3 75016
3.2%
2 17163
 
0.7%
1 27972
 
1.2%

_LLCPM01
Real number (ℝ)

Missing 

Distinct14
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean8.688938802
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.840496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.686118454
Coefficient of variation (CV)0.4242311447
Kurtosis-1.012513642
Mean8.688938802
Median Absolute Deviation (MAD)3
Skewness-0.3072914586
Sum8533876
Variance13.58746926
MonotonicityNot monotonic
2025-05-10T13:45:13.874555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
12 116045
 
4.9%
10 105427
 
4.4%
14 93819
 
3.9%
11 82352
 
3.5%
13 74979
 
3.2%
9 73907
 
3.1%
6 71875
 
3.0%
5 69542
 
2.9%
8 68489
 
2.9%
4 63826
 
2.7%
Other values (4) 161893
 
6.8%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 23306
 
1.0%
2 32797
1.4%
3 45942
1.9%
4 63826
2.7%
5 69542
2.9%
ValueCountFrequency (%)
14 93819
3.9%
13 74979
3.2%
12 116045
4.9%
11 82352
3.5%
10 105427
4.4%

_LLCPM02
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.361698878
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.906395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8237431487
Coefficient of variation (CV)0.6049378184
Kurtosis5.496019224
Mean1.361698878
Median Absolute Deviation (MAD)0
Skewness2.464375595
Sum1337398
Variance0.6785527751
MonotonicityNot monotonic
2025-05-10T13:45:13.938147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 781098
32.8%
2 103482
 
4.3%
3 50003
 
2.1%
4 38528
 
1.6%
5 9043
 
0.4%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 781098
32.8%
2 103482
 
4.3%
3 50003
 
2.1%
4 38528
 
1.6%
5 9043
 
0.4%
ValueCountFrequency (%)
5 9043
 
0.4%
4 38528
 
1.6%
3 50003
 
2.1%
2 103482
 
4.3%
1 781098
32.8%

_LLCPM03
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2.866746966
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:13.967930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9921673372
Coefficient of variation (CV)0.3460951904
Kurtosis-1.105129041
Mean2.866746966
Median Absolute Deviation (MAD)1
Skewness-0.2889239017
Sum2815587
Variance0.9843960251
MonotonicityNot monotonic
2025-05-10T13:45:13.998375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 337513
 
14.2%
2 290022
 
12.2%
3 265436
 
11.2%
1 89183
 
3.7%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 89183
 
3.7%
2 290022
12.2%
3 265436
11.2%
4 337513
14.2%
ValueCountFrequency (%)
4 337513
14.2%
3 265436
11.2%
2 290022
12.2%
1 89183
 
3.7%

_LLCPM04
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.770682602
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.029823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8810647944
Coefficient of variation (CV)0.4975848261
Kurtosis-1.553374872
Mean1.770682602
Median Absolute Deviation (MAD)0
Skewness0.4631666304
Sum1739083
Variance0.776275172
MonotonicityNot monotonic
2025-05-10T13:45:14.061277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 519647
 
21.8%
3 294422
 
12.4%
2 168085
 
7.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 519647
21.8%
2 168085
 
7.1%
3 294422
12.4%
ValueCountFrequency (%)
3 294422
12.4%
2 168085
 
7.1%
1 519647
21.8%

_LLCPM05
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.258584703
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.094072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4378571107
Coefficient of variation (CV)0.3478964187
Kurtosis-0.7840213553
Mean1.258584703
Median Absolute Deviation (MAD)0
Skewness1.102714941
Sum1236124
Variance0.1917188494
MonotonicityNot monotonic
2025-05-10T13:45:14.124411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 728184
30.6%
2 253970
 
10.7%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 728184
30.6%
2 253970
 
10.7%
ValueCountFrequency (%)
2 253970
 
10.7%
1 728184
30.6%

_LLCPM06
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean3.099347964
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.154525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.780090248
Coefficient of variation (CV)0.5743434648
Kurtosis-0.4666918743
Mean3.099347964
Median Absolute Deviation (MAD)2
Skewness0.3664552997
Sum3044037
Variance3.168721291
MonotonicityNot monotonic
2025-05-10T13:45:14.185843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 313555
 
13.2%
4 268188
 
11.3%
3 142480
 
6.0%
5 118355
 
5.0%
2 61097
 
2.6%
6 49425
 
2.1%
7 15919
 
0.7%
8 10475
 
0.4%
9 2062
 
0.1%
10 598
 
< 0.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 313555
13.2%
2 61097
 
2.6%
3 142480
6.0%
4 268188
11.3%
5 118355
 
5.0%
ValueCountFrequency (%)
10 598
 
< 0.1%
9 2062
 
0.1%
8 10475
 
0.4%
7 15919
 
0.7%
6 49425
2.1%

_LLCPM07
Real number (ℝ)

Missing 

Distinct14
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean5.754592457
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.214984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.592782824
Coefficient of variation (CV)0.450558896
Kurtosis-0.5766704434
Mean5.754592457
Median Absolute Deviation (MAD)2
Skewness-0.1584742723
Sum5651896
Variance6.722522775
MonotonicityNot monotonic
2025-05-10T13:45:14.247206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 192039
 
8.1%
5 147151
 
6.2%
4 125845
 
5.3%
9 103701
 
4.4%
1 98487
 
4.1%
8 94326
 
4.0%
6 86282
 
3.6%
3 55476
 
2.3%
10 28487
 
1.2%
2 27521
 
1.2%
Other values (4) 22839
 
1.0%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 98487
4.1%
2 27521
 
1.2%
3 55476
 
2.3%
4 125845
5.3%
5 147151
6.2%
ValueCountFrequency (%)
14 323
 
< 0.1%
13 1480
 
0.1%
12 2894
 
0.1%
11 18142
0.8%
10 28487
1.2%

_LLCPM08
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2.502839677
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.276442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7530777379
Coefficient of variation (CV)0.3008893238
Kurtosis-0.3237742346
Mean2.502839677
Median Absolute Deviation (MAD)0
Skewness-1.123471047
Sum2458174
Variance0.5671260793
MonotonicityNot monotonic
2025-05-10T13:45:14.308989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 649603
27.3%
2 176814
 
7.4%
1 155737
 
6.5%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
1 155737
 
6.5%
2 176814
 
7.4%
3 649603
27.3%
ValueCountFrequency (%)
3 649603
27.3%
2 176814
 
7.4%
1 155737
 
6.5%

_LLCPM09
Real number (ℝ)

Missing 

Distinct21
Distinct (%)< 0.1%
Missing1803815
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean5.223083758
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.342889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile14
Maximum21
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.223812673
Coefficient of variation (CV)0.8086817804
Kurtosis1.678716954
Mean5.223083758
Median Absolute Deviation (MAD)2
Skewness1.39482146
Sum3009708
Variance17.84059349
MonotonicityNot monotonic
2025-05-10T13:45:14.378452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 98190
 
4.1%
2 88033
 
3.7%
3 68709
 
2.9%
4 58852
 
2.5%
5 50702
 
2.1%
6 49672
 
2.1%
7 32972
 
1.4%
8 27120
 
1.1%
9 20902
 
0.9%
10 15668
 
0.7%
Other values (11) 65412
 
2.7%
(Missing) 1803815
75.8%
ValueCountFrequency (%)
1 98190
4.1%
2 88033
3.7%
3 68709
2.9%
4 58852
2.5%
5 50702
2.1%
ValueCountFrequency (%)
21 577
 
< 0.1%
20 2943
0.1%
19 4648
0.2%
18 6181
0.3%
17 4257
0.2%

_LLCPM10
Real number (ℝ)

Missing 

Distinct128
Distinct (%)< 0.1%
Missing1803815
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean29.27077288
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.418793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median23
Q340
95-th percentile82
Maximum128
Range127
Interquartile range (IQR)30

Descriptive statistics

Standard deviation24.91517571
Coefficient of variation (CV)0.851196373
Kurtosis1.771078663
Mean29.27077288
Median Absolute Deviation (MAD)14
Skewness1.377192347
Sum16866756
Variance620.7659807
MonotonicityNot monotonic
2025-05-10T13:45:14.461235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18217
 
0.8%
4 17409
 
0.7%
3 17262
 
0.7%
12 15227
 
0.6%
6 15072
 
0.6%
11 15009
 
0.6%
9 14921
 
0.6%
10 14533
 
0.6%
2 14477
 
0.6%
7 13686
 
0.6%
Other values (118) 420419
 
17.7%
(Missing) 1803815
75.8%
ValueCountFrequency (%)
1 8870
0.4%
2 14477
0.6%
3 17262
0.7%
4 17409
0.7%
5 18217
0.8%
ValueCountFrequency (%)
128 62
< 0.1%
127 130
< 0.1%
126 115
< 0.1%
125 116
< 0.1%
124 87
< 0.1%

_LLCPM11
Real number (ℝ)

Missing 

Distinct42
Distinct (%)< 0.1%
Missing1803815
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean10.04991739
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.501313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q314
95-th percentile28
Maximum42
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.465036286
Coefficient of variation (CV)0.842299091
Kurtosis1.658422431
Mean10.04991739
Median Absolute Deviation (MAD)5
Skewness1.385442077
Sum5791084
Variance71.65683932
MonotonicityNot monotonic
2025-05-10T13:45:14.538598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2 58688
 
2.5%
4 52800
 
2.2%
6 41333
 
1.7%
1 39502
 
1.7%
3 35233
 
1.5%
8 35122
 
1.5%
10 30621
 
1.3%
12 30111
 
1.3%
5 27376
 
1.2%
7 23730
 
1.0%
Other values (32) 201716
 
8.5%
(Missing) 1803815
75.8%
ValueCountFrequency (%)
1 39502
1.7%
2 58688
2.5%
3 35233
1.5%
4 52800
2.2%
5 27376
1.2%
ValueCountFrequency (%)
42 343
 
< 0.1%
41 234
 
< 0.1%
40 1760
0.1%
39 1183
< 0.1%
38 2821
0.1%

_LLCPM12
Real number (ℝ)

Missing 

Distinct60
Distinct (%)< 0.1%
Missing1803815
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean10.55224632
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.576492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q315
95-th percentile27
Maximum60
Range59
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.978919334
Coefficient of variation (CV)0.8509012265
Kurtosis4.048201765
Mean10.55224632
Median Absolute Deviation (MAD)5
Skewness1.663492448
Sum6080542
Variance80.6209924
MonotonicityNot monotonic
2025-05-10T13:45:14.617039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70219
 
3.0%
4 45079
 
1.9%
6 31487
 
1.3%
7 31118
 
1.3%
5 29246
 
1.2%
10 29134
 
1.2%
8 28146
 
1.2%
3 27725
 
1.2%
2 26107
 
1.1%
9 25265
 
1.1%
Other values (50) 232706
 
9.8%
(Missing) 1803815
75.8%
ValueCountFrequency (%)
1 70219
3.0%
2 26107
 
1.1%
3 27725
 
1.2%
4 45079
1.9%
5 29246
1.2%
ValueCountFrequency (%)
60 40
 
< 0.1%
59 538
< 0.1%
58 160
 
< 0.1%
57 127
 
< 0.1%
56 411
< 0.1%

MRACEORG
Text

Missing 

Distinct264
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Memory size18.2 MiB
2025-05-10T13:45:14.686036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.023577769
Min length3

Characters and Unicode

Total characters3951773
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)< 0.1%

Sample

1st rowb'1'
2nd rowb'1'
3rd rowb'2'
4th rowb'1'
5th rowb'1'
ValueCountFrequency (%)
b'1 798009
81.3%
b'2 84335
 
8.6%
b'6 26361
 
2.7%
b'3 19514
 
2.0%
b'5 16274
 
1.7%
b'9 9728
 
1.0%
b'15 7591
 
0.8%
b'4 3805
 
0.4%
b'7 3522
 
0.4%
b'12 1308
 
0.1%
Other values (254) 11707
 
1.2%
2025-05-10T13:45:14.791289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1964308
49.7%
b 982154
24.9%
1 815105
20.6%
2 88339
 
2.2%
6 29212
 
0.7%
5 27468
 
0.7%
3 24117
 
0.6%
9 9728
 
0.2%
4 7814
 
0.2%
7 3522
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3951773
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1964308
49.7%
b 982154
24.9%
1 815105
20.6%
2 88339
 
2.2%
6 29212
 
0.7%
5 27468
 
0.7%
3 24117
 
0.6%
9 9728
 
0.2%
4 7814
 
0.2%
7 3522
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3951773
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1964308
49.7%
b 982154
24.9%
1 815105
20.6%
2 88339
 
2.2%
6 29212
 
0.7%
5 27468
 
0.7%
3 24117
 
0.6%
9 9728
 
0.2%
4 7814
 
0.2%
7 3522
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3951773
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1964308
49.7%
b 982154
24.9%
1 815105
20.6%
2 88339
 
2.2%
6 29212
 
0.7%
5 27468
 
0.7%
3 24117
 
0.6%
9 9728
 
0.2%
4 7814
 
0.2%
7 3522
 
0.1%

MRACEASC
Real number (ℝ)

Missing  Skewed 

Distinct73
Distinct (%)< 0.1%
Missing1398207
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean4.432938157
Minimum5.397605347 × 10-79
Maximum166666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.834995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum166666
Range166666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation349.6407317
Coefficient of variation (CV)78.87336104
Kurtosis131946.5617
Mean4.432938157
Median Absolute Deviation (MAD)0
Skewness339.6697417
Sum4352436
Variance122248.6413
MonotonicityNot monotonic
2025-05-10T13:45:14.875508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 798010
33.5%
2 84335
 
3.5%
6 26362
 
1.1%
3 19514
 
0.8%
5 16274
 
0.7%
9 9728
 
0.4%
15 8844
 
0.4%
4 3805
 
0.2%
7 3522
 
0.1%
12 1616
 
0.1%
Other values (63) 9830
 
0.4%
(Missing) 1398207
58.7%
ValueCountFrequency (%)
5.397605347 × 10-791
 
< 0.1%
1 798010
33.5%
2 84335
 
3.5%
3 19514
 
0.8%
4 3805
 
0.2%
ValueCountFrequency (%)
166666 1
 
< 0.1%
123456 5
< 0.1%
25666 1
 
< 0.1%
23456 2
 
< 0.1%
16666 1
 
< 0.1%

_PRACE
Real number (ℝ)

Missing 

Distinct10
Distinct (%)< 0.1%
Missing1398319
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean2.617918609
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.911229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.70361104
Coefficient of variation (CV)4.088595805
Kurtosis70.51524145
Mean2.617918609
Median Absolute Deviation (MAD)0
Skewness8.437241601
Sum2570084
Variance114.5672893
MonotonicityNot monotonic
2025-05-10T13:45:14.941947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 807903
33.9%
2 86389
 
3.6%
6 27142
 
1.1%
3 20861
 
0.9%
5 17980
 
0.8%
99 9728
 
0.4%
4 5877
 
0.2%
77 3522
 
0.1%
7 2314
 
0.1%
8 12
 
< 0.1%
(Missing) 1398319
58.8%
ValueCountFrequency (%)
1 807903
33.9%
2 86389
 
3.6%
3 20861
 
0.9%
4 5877
 
0.2%
5 17980
 
0.8%
ValueCountFrequency (%)
99 9728
 
0.4%
77 3522
 
0.1%
8 12
 
< 0.1%
7 2314
 
0.1%
6 27142
1.1%

_MRACE
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing1398208
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2.705405876
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:14.972051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.71669395
Coefficient of variation (CV)3.961214857
Kurtosis69.87501458
Mean2.705405876
Median Absolute Deviation (MAD)0
Skewness8.382173485
Sum2656273
Variance114.8475292
MonotonicityNot monotonic
2025-05-10T13:45:15.003516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 798010
33.5%
2 84335
 
3.5%
6 26362
 
1.1%
7 20289
 
0.9%
3 19514
 
0.8%
5 16274
 
0.7%
99 9728
 
0.4%
4 3805
 
0.2%
77 3522
 
0.1%
(Missing) 1398208
58.7%
ValueCountFrequency (%)
1 798010
33.5%
2 84335
 
3.5%
3 19514
 
0.8%
4 3805
 
0.2%
5 16274
 
0.7%
ValueCountFrequency (%)
99 9728
 
0.4%
77 3522
 
0.1%
7 20289
0.9%
6 26362
1.1%
5 16274
0.7%

RACE2
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing1398124
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.960085465
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.032216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.197660149
Coefficient of variation (CV)1.121206288
Kurtosis3.303289951
Mean1.960085465
Median Absolute Deviation (MAD)0
Skewness2.223685399
Sum1924653
Variance4.829710129
MonotonicityNot monotonic
2025-05-10T13:45:15.065396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
8 74588
 
3.1%
3 18727
 
0.8%
7 18117
 
0.8%
5 13906
 
0.6%
9 12162
 
0.5%
6 6150
 
0.3%
4 3361
 
0.1%
(Missing) 1398124
58.7%
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
3 18727
 
0.8%
4 3361
 
0.1%
5 13906
 
0.6%
ValueCountFrequency (%)
9 12162
 
0.5%
8 74588
3.1%
7 18117
 
0.8%
6 6150
 
0.3%
5 13906
 
0.6%

_RACEG2
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1398124
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.318609504
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.096682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9543106468
Coefficient of variation (CV)0.7237249875
Kurtosis49.05792476
Mean1.318609504
Median Absolute Deviation (MAD)0
Skewness6.510531425
Sum1294773
Variance0.9107088105
MonotonicityNot monotonic
2025-05-10T13:45:15.128639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 754207
31.7%
2 215554
 
9.1%
9 12162
 
0.5%
(Missing) 1398124
58.7%
ValueCountFrequency (%)
1 754207
31.7%
2 215554
 
9.1%
9 12162
 
0.5%
ValueCountFrequency (%)
9 12162
 
0.5%
2 215554
 
9.1%
1 754207
31.7%

_RACEGR2
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1398124
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.626313876
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.159640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.426791497
Coefficient of variation (CV)0.8773161922
Kurtosis8.41702973
Mean1.626313876
Median Absolute Deviation (MAD)0
Skewness2.773606318
Sum1596915
Variance2.035733976
MonotonicityNot monotonic
2025-05-10T13:45:15.189496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
5 74588
 
3.1%
3 42144
 
1.8%
4 18117
 
0.8%
9 12162
 
0.5%
(Missing) 1398124
58.7%
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
3 42144
 
1.8%
4 18117
 
0.8%
5 74588
 
3.1%
ValueCountFrequency (%)
9 12162
 
0.5%
5 74588
3.1%
4 18117
 
0.8%
3 42144
1.8%
2 80705
3.4%

_RACE_G
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1410286
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean1.44215121
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.436918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9409643338
Coefficient of variation (CV)0.6524727275
Kurtosis3.817351609
Mean1.44215121
Median Absolute Deviation (MAD)0
Skewness2.168477134
Sum1398542
Variance0.8854138775
MonotonicityNot monotonic
2025-05-10T13:45:15.471415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
3 74588
 
3.1%
4 42144
 
1.8%
5 18117
 
0.8%
(Missing) 1410286
59.3%
ValueCountFrequency (%)
1 754207
31.7%
2 80705
 
3.4%
3 74588
 
3.1%
4 42144
 
1.8%
5 18117
 
0.8%
ValueCountFrequency (%)
5 18117
 
0.8%
4 42144
 
1.8%
3 74588
 
3.1%
2 80705
 
3.4%
1 754207
31.7%

_CNRACE
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing1397893
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean0.9806741102
Minimum5.397605347 × 10-79
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.505343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2581147023
Coefficient of variation (CV)0.2632013016
Kurtosis23.39828364
Mean0.9806741102
Median Absolute Deviation (MAD)0
Skewness0.2287701165
Sum963173
Variance0.06662319953
MonotonicityNot monotonic
2025-05-10T13:45:15.534767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 924360
38.8%
5.397605347 × 10-7939612
 
1.7%
2 15998
 
0.7%
3 1984
 
0.1%
4 135
 
< 0.1%
5 65
 
< 0.1%
(Missing) 1397893
58.7%
ValueCountFrequency (%)
5.397605347 × 10-7939612
 
1.7%
1 924360
38.8%
2 15998
 
0.7%
3 1984
 
0.1%
4 135
 
< 0.1%
ValueCountFrequency (%)
5 65
 
< 0.1%
4 135
 
< 0.1%
3 1984
 
0.1%
2 15998
 
0.7%
1 924360
38.8%

_CNRACEC
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing1437505
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean1.019290387
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.563824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1375437679
Coefficient of variation (CV)0.1349407094
Kurtosis46.85921638
Mean1.019290387
Median Absolute Deviation (MAD)0
Skewness6.989929681
Sum960724
Variance0.0189182881
MonotonicityNot monotonic
2025-05-10T13:45:15.592981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 924360
38.8%
2 18182
 
0.8%
(Missing) 1437505
60.4%
ValueCountFrequency (%)
1 924360
38.8%
2 18182
 
0.8%
ValueCountFrequency (%)
2 18182
 
0.8%
1 924360
38.8%

_FLSHOT5
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2057432
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean1.965268199
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.620676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.062648869
Coefficient of variation (CV)1.04955083
Kurtosis7.225151094
Mean1.965268199
Median Absolute Deviation (MAD)0
Skewness2.932539478
Sum634025
Variance4.254520356
MonotonicityNot monotonic
2025-05-10T13:45:15.651893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 181424
 
7.6%
2 116874
 
4.9%
9 24317
 
1.0%
(Missing) 2057432
86.4%
ValueCountFrequency (%)
1 181424
7.6%
2 116874
4.9%
9 24317
 
1.0%
ValueCountFrequency (%)
9 24317
 
1.0%
2 116874
4.9%
1 181424
7.6%

CHCCOPD
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1874707
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean1.94933708
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.681746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4650255387
Coefficient of variation (CV)0.2385557344
Kurtosis83.7432813
Mean1.94933708
Median Absolute Deviation (MAD)0
Skewness6.819271039
Sum985078
Variance0.2162487517
MonotonicityNot monotonic
2025-05-10T13:45:15.711609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 463188
 
19.5%
1 39440
 
1.7%
7 2573
 
0.1%
9 139
 
< 0.1%
(Missing) 1874707
78.8%
ValueCountFrequency (%)
1 39440
 
1.7%
2 463188
19.5%
7 2573
 
0.1%
9 139
 
< 0.1%
ValueCountFrequency (%)
9 139
 
< 0.1%
7 2573
 
0.1%
2 463188
19.5%
1 39440
 
1.7%

CHCVISON
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1874706
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean1.825284313
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.741689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7208198298
Coefficient of variation (CV)0.3949082478
Kurtosis36.13039517
Mean1.825284313
Median Absolute Deviation (MAD)0
Skewness4.603383084
Sum922391
Variance0.519581227
MonotonicityNot monotonic
2025-05-10T13:45:15.772297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 379654
 
16.0%
1 119080
 
5.0%
7 5144
 
0.2%
3 862
 
< 0.1%
9 601
 
< 0.1%
(Missing) 1874706
78.8%
ValueCountFrequency (%)
1 119080
 
5.0%
2 379654
16.0%
3 862
 
< 0.1%
7 5144
 
0.2%
9 601
 
< 0.1%
ValueCountFrequency (%)
9 601
 
< 0.1%
7 5144
 
0.2%
3 862
 
< 0.1%
2 379654
16.0%
1 119080
 
5.0%

CPDEMO2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2291278
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean2.076783562
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.804382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9941170867
Coefficient of variation (CV)0.4786811226
Kurtosis41.00769487
Mean2.076783562
Median Absolute Deviation (MAD)0
Skewness6.288186997
Sum184354
Variance0.988268782
MonotonicityNot monotonic
2025-05-10T13:45:15.833793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 81759
 
3.4%
1 5246
 
0.2%
9 1621
 
0.1%
7 143
 
< 0.1%
(Missing) 2291278
96.3%
ValueCountFrequency (%)
1 5246
 
0.2%
2 81759
3.4%
7 143
 
< 0.1%
9 1621
 
0.1%
ValueCountFrequency (%)
9 1621
 
0.1%
7 143
 
< 0.1%
2 81759
3.4%
1 5246
 
0.2%

CPDEMO3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2050020
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean1.877303978
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.864133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4444251808
Coefficient of variation (CV)0.2367358648
Kurtosis84.46522371
Mean1.877303978
Median Absolute Deviation (MAD)0
Skewness4.803332264
Sum619561
Variance0.1975137413
MonotonicityNot monotonic
2025-05-10T13:45:15.894571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 284642
 
12.0%
1 44678
 
1.9%
7 382
 
< 0.1%
9 325
 
< 0.1%
(Missing) 2050020
86.1%
ValueCountFrequency (%)
1 44678
 
1.9%
2 284642
12.0%
7 382
 
< 0.1%
9 325
 
< 0.1%
ValueCountFrequency (%)
9 325
 
< 0.1%
7 382
 
< 0.1%
2 284642
12.0%
1 44678
 
1.9%

EXRACT01
Real number (ℝ)

Missing 

Distinct72
Distinct (%)< 0.1%
Missing2027048
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean49.99777336
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:15.933257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q136
median64
Q364
95-th percentile70
Maximum99
Range98
Interquartile range (IQR)28

Descriptive statistics

Standard deviation22.38317219
Coefficient of variation (CV)0.4476833804
Kurtosis-0.642612367
Mean49.99777336
Median Absolute Deviation (MAD)0
Skewness-0.9956272429
Sum17649164
Variance501.0063973
MonotonicityNot monotonic
2025-05-10T13:45:15.974784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 195322
 
8.2%
18 24932
 
1.0%
37 21801
 
0.9%
70 20178
 
0.8%
2 10094
 
0.4%
7 8901
 
0.4%
67 8883
 
0.4%
6 8049
 
0.3%
15 5920
 
0.2%
11 4591
 
0.2%
Other values (62) 44328
 
1.9%
(Missing) 2027048
85.2%
ValueCountFrequency (%)
1 721
 
< 0.1%
2 10094
0.4%
3 65
 
< 0.1%
4 42
 
< 0.1%
5 2559
 
0.1%
ValueCountFrequency (%)
99 489
 
< 0.1%
77 1248
 
0.1%
70 20178
0.8%
69 2534
 
0.1%
68 128
 
< 0.1%

EXRACT02
Real number (ℝ)

Missing 

Distinct72
Distinct (%)< 0.1%
Missing2030110
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean60.69933159
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.015736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q137
median67
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)51

Descriptive statistics

Standard deviation28.96393187
Coefficient of variation (CV)0.4771705242
Kurtosis-0.8617800426
Mean60.69933159
Median Absolute Deviation (MAD)21
Skewness-0.7540756329
Sum21240942
Variance838.9093496
MonotonicityNot monotonic
2025-05-10T13:45:16.057738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 127939
 
5.4%
64 48318
 
2.0%
70 33971
 
1.4%
18 23570
 
1.0%
67 16640
 
0.7%
7 9892
 
0.4%
37 8883
 
0.4%
6 6815
 
0.3%
2 6242
 
0.3%
57 5811
 
0.2%
Other values (62) 61856
 
2.6%
(Missing) 2030110
85.3%
ValueCountFrequency (%)
1 1119
 
< 0.1%
2 6242
0.3%
3 46
 
< 0.1%
4 85
 
< 0.1%
5 2443
 
0.1%
ValueCountFrequency (%)
99 1152
 
< 0.1%
88 127939
5.4%
77 4574
 
0.2%
70 33971
 
1.4%
69 4111
 
0.2%

SSBFRUIT
Real number (ℝ)

Missing 

Distinct61
Distinct (%)0.2%
Missing2354078
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean616.4113366
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.098422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1301
median888
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)587

Descriptive statistics

Standard deviation325.3580291
Coefficient of variation (CV)0.5278261606
Kurtosis-1.72792297
Mean616.4113366
Median Absolute Deviation (MAD)0
Skewness-0.4185536435
Sum16007586
Variance105857.8471
MonotonicityNot monotonic
2025-05-10T13:45:16.138287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888 14950
 
0.6%
301 2085
 
0.1%
201 1611
 
0.1%
302 1309
 
0.1%
202 1181
 
< 0.1%
101 1158
 
< 0.1%
203 686
 
< 0.1%
303 415
 
< 0.1%
102 347
 
< 0.1%
777 298
 
< 0.1%
Other values (51) 1929
 
0.1%
(Missing) 2354078
98.9%
ValueCountFrequency (%)
101 1158
< 0.1%
102 347
 
< 0.1%
103 131
 
< 0.1%
104 45
 
< 0.1%
105 24
 
< 0.1%
ValueCountFrequency (%)
999 10
 
< 0.1%
888 14950
0.6%
777 298
 
< 0.1%
350 1
 
< 0.1%
332 1
 
< 0.1%

PFPPREPR
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2376641
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.711098062
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.170945image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.322983379
Coefficient of variation (CV)0.7731780006
Kurtosis20.67876463
Mean1.711098062
Median Absolute Deviation (MAD)1
Skewness4.348164281
Sum5828
Variance1.75028502
MonotonicityNot monotonic
2025-05-10T13:45:16.201846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1674
 
0.1%
2 1626
 
0.1%
9 80
 
< 0.1%
7 26
 
< 0.1%
(Missing) 2376641
99.9%
ValueCountFrequency (%)
1 1674
0.1%
2 1626
0.1%
7 26
 
< 0.1%
9 80
 
< 0.1%
ValueCountFrequency (%)
9 80
 
< 0.1%
7 26
 
< 0.1%
2 1626
0.1%
1 1674
0.1%

PFPPRGNT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2376644
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.396414928
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.232606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.218155363
Coefficient of variation (CV)0.872344844
Kurtosis30.49157883
Mean1.396414928
Median Absolute Deviation (MAD)0
Skewness5.379082849
Sum4752
Variance1.483902487
MonotonicityNot monotonic
2025-05-10T13:45:16.264997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2587
 
0.1%
2 739
 
< 0.1%
9 74
 
< 0.1%
7 3
 
< 0.1%
(Missing) 2376644
99.9%
ValueCountFrequency (%)
1 2587
0.1%
2 739
 
< 0.1%
7 3
 
< 0.1%
9 74
 
< 0.1%
ValueCountFrequency (%)
9 74
 
< 0.1%
7 3
 
< 0.1%
2 739
 
< 0.1%
1 2587
0.1%

PFPPRVNT
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.2%
Missing2376646
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.881799471
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.295056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.577832037
Coefficient of variation (CV)0.838469806
Kurtosis13.16315623
Mean1.881799471
Median Absolute Deviation (MAD)1
Skewness3.571042958
Sum6400
Variance2.489553937
MonotonicityNot monotonic
2025-05-10T13:45:16.328761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1577
 
0.1%
2 1507
 
0.1%
3 155
 
< 0.1%
9 126
 
< 0.1%
7 22
 
< 0.1%
4 14
 
< 0.1%
(Missing) 2376646
99.9%
ValueCountFrequency (%)
1 1577
0.1%
2 1507
0.1%
3 155
 
< 0.1%
4 14
 
< 0.1%
7 22
 
< 0.1%
ValueCountFrequency (%)
9 126
 
< 0.1%
7 22
 
< 0.1%
4 14
 
< 0.1%
3 155
 
< 0.1%
2 1507
0.1%

TYPCNTR6
Real number (ℝ)

Missing 

Distinct20
Distinct (%)1.3%
Missing2378474
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean10.98092816
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.364578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q311
95-th percentile18
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation17.35641619
Coefficient of variation (CV)1.580596461
Kurtosis19.47052313
Mean10.98092816
Median Absolute Deviation (MAD)3
Skewness4.465649417
Sum17273
Variance301.2451831
MonotonicityNot monotonic
2025-05-10T13:45:16.399474image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 430
 
< 0.1%
8 427
 
< 0.1%
1 194
 
< 0.1%
2 125
 
< 0.1%
6 109
 
< 0.1%
99 50
 
< 0.1%
18 46
 
< 0.1%
7 40
 
< 0.1%
4 34
 
< 0.1%
10 23
 
< 0.1%
Other values (10) 95
 
< 0.1%
(Missing) 2378474
99.9%
ValueCountFrequency (%)
1 194
< 0.1%
2 125
< 0.1%
3 15
 
< 0.1%
4 34
 
< 0.1%
5 17
 
< 0.1%
ValueCountFrequency (%)
99 50
< 0.1%
77 10
 
< 0.1%
18 46
< 0.1%
17 2
 
< 0.1%
16 4
 
< 0.1%

NOBCUSE4
Real number (ℝ)

Missing 

Distinct20
Distinct (%)1.3%
Missing2378542
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean19.1255814
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.434065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median11
Q318
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)13

Descriptive statistics

Standard deviation26.20626124
Coefficient of variation (CV)1.370220371
Kurtosis3.986244599
Mean19.1255814
Median Absolute Deviation (MAD)7
Skewness2.334102522
Sum28784
Variance686.7681284
MonotonicityNot monotonic
2025-05-10T13:45:16.469360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 304
 
< 0.1%
3 225
 
< 0.1%
18 219
 
< 0.1%
12 148
 
< 0.1%
10 139
 
< 0.1%
99 101
 
< 0.1%
2 76
 
< 0.1%
77 71
 
< 0.1%
1 66
 
< 0.1%
13 65
 
< 0.1%
Other values (10) 91
 
< 0.1%
(Missing) 2378542
99.9%
ValueCountFrequency (%)
1 66
 
< 0.1%
2 76
 
< 0.1%
3 225
< 0.1%
4 7
 
< 0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
99 101
< 0.1%
77 71
 
< 0.1%
18 219
< 0.1%
17 14
 
< 0.1%
16 36
 
< 0.1%

FPCHLDF2
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.3%
Missing2377532
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.996819085
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.499099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.418601224
Coefficient of variation (CV)0.8070561336
Kurtosis0.3188659982
Mean2.996819085
Median Absolute Deviation (MAD)1
Skewness1.127258932
Sum7537
Variance5.849631883
MonotonicityNot monotonic
2025-05-10T13:45:16.533099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1129
 
< 0.1%
4 340
 
< 0.1%
5 259
 
< 0.1%
2 234
 
< 0.1%
3 233
 
< 0.1%
9 173
 
< 0.1%
7 147
 
< 0.1%
(Missing) 2377532
99.9%
ValueCountFrequency (%)
1 1129
< 0.1%
2 234
 
< 0.1%
3 233
 
< 0.1%
4 340
 
< 0.1%
5 259
 
< 0.1%
ValueCountFrequency (%)
9 173
< 0.1%
7 147
< 0.1%
5 259
< 0.1%
4 340
< 0.1%
3 233
< 0.1%

PFPVITMN
Real number (ℝ)

Missing 

Distinct6
Distinct (%)0.2%
Missing2377519
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.682753165
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.565420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.015724497
Coefficient of variation (CV)0.7513641297
Kurtosis1.969769286
Mean2.682753165
Median Absolute Deviation (MAD)1
Skewness1.379133572
Sum6782
Variance4.063145247
MonotonicityNot monotonic
2025-05-10T13:45:16.597967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1155
 
< 0.1%
4 873
 
< 0.1%
2 229
 
< 0.1%
9 112
 
< 0.1%
3 111
 
< 0.1%
7 48
 
< 0.1%
(Missing) 2377519
99.9%
ValueCountFrequency (%)
1 1155
< 0.1%
2 229
 
< 0.1%
3 111
 
< 0.1%
4 873
< 0.1%
7 48
 
< 0.1%
ValueCountFrequency (%)
9 112
 
< 0.1%
7 48
 
< 0.1%
4 873
< 0.1%
3 111
 
< 0.1%
2 229
 
< 0.1%

VIDFCLT3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VIPRFVS3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VINOCRE3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VIEYEXM3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VIINSUR3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VICTRCT3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VIGLUMA3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

VIMACDG3
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

BPEATHBT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2348923
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.321616759
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.629451image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7560149031
Coefficient of variation (CV)0.572037921
Kurtosis46.46683961
Mean1.321616759
Median Absolute Deviation (MAD)0
Skewness5.765584261
Sum41134
Variance0.5715585337
MonotonicityNot monotonic
2025-05-10T13:45:16.660937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22765
 
1.0%
2 8060
 
0.3%
7 221
 
< 0.1%
9 78
 
< 0.1%
(Missing) 2348923
98.7%
ValueCountFrequency (%)
1 22765
1.0%
2 8060
 
0.3%
7 221
 
< 0.1%
9 78
 
< 0.1%
ValueCountFrequency (%)
9 78
 
< 0.1%
7 221
 
< 0.1%
2 8060
 
0.3%
1 22765
1.0%

BPSALT
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2348931
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.368942023
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.692221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7914565822
Coefficient of variation (CV)0.5781520098
Kurtosis23.40338021
Mean1.368942023
Median Absolute Deviation (MAD)0
Skewness3.690825329
Sum42596
Variance0.6264035215
MonotonicityNot monotonic
2025-05-10T13:45:16.722865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 23511
 
1.0%
2 4490
 
0.2%
3 2954
 
0.1%
7 103
 
< 0.1%
9 58
 
< 0.1%
(Missing) 2348931
98.7%
ValueCountFrequency (%)
1 23511
1.0%
2 4490
 
0.2%
3 2954
 
0.1%
7 103
 
< 0.1%
9 58
 
< 0.1%
ValueCountFrequency (%)
9 58
 
< 0.1%
7 103
 
< 0.1%
3 2954
 
0.1%
2 4490
 
0.2%
1 23511
1.0%

BPALCHOL
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2348934
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean2.224247099
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.753353image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9636693687
Coefficient of variation (CV)0.433256435
Kurtosis6.296332288
Mean2.224247099
Median Absolute Deviation (MAD)1
Skewness0.9622161603
Sum69203
Variance0.9286586522
MonotonicityNot monotonic
2025-05-10T13:45:16.784262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 14887
 
0.6%
1 9000
 
0.4%
2 7040
 
0.3%
7 106
 
< 0.1%
9 80
 
< 0.1%
(Missing) 2348934
98.7%
ValueCountFrequency (%)
1 9000
0.4%
2 7040
0.3%
3 14887
0.6%
7 106
 
< 0.1%
9 80
 
< 0.1%
ValueCountFrequency (%)
9 80
 
< 0.1%
7 106
 
< 0.1%
3 14887
0.6%
2 7040
0.3%
1 9000
0.4%

BPEXER
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2348939
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.388549569
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.814098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7355207797
Coefficient of variation (CV)0.5297043735
Kurtosis44.38181203
Mean1.388549569
Median Absolute Deviation (MAD)0
Skewness5.287875151
Sum43195
Variance0.5409908174
MonotonicityNot monotonic
2025-05-10T13:45:16.845599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20412
 
0.9%
2 10449
 
0.4%
7 169
 
< 0.1%
9 78
 
< 0.1%
(Missing) 2348939
98.7%
ValueCountFrequency (%)
1 20412
0.9%
2 10449
0.4%
7 169
 
< 0.1%
9 78
 
< 0.1%
ValueCountFrequency (%)
9 78
 
< 0.1%
7 169
 
< 0.1%
2 10449
0.4%
1 20412
0.9%

BPEATADV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2348953
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.444394417
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.875225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.744265007
Coefficient of variation (CV)0.5152782358
Kurtosis36.89245672
Mean1.444394417
Median Absolute Deviation (MAD)0
Skewness4.732534575
Sum44912
Variance0.5539304006
MonotonicityNot monotonic
2025-05-10T13:45:16.906653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 18748
 
0.8%
2 12072
 
0.5%
7 223
 
< 0.1%
9 51
 
< 0.1%
(Missing) 2348953
98.7%
ValueCountFrequency (%)
1 18748
0.8%
2 12072
0.5%
7 223
 
< 0.1%
9 51
 
< 0.1%
ValueCountFrequency (%)
9 51
 
< 0.1%
7 223
 
< 0.1%
2 12072
0.5%
1 18748
0.8%

BPSLTADV
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2348952
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.42894356
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.936444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8146711986
Coefficient of variation (CV)0.5701213269
Kurtosis28.05398266
Mean1.42894356
Median Absolute Deviation (MAD)0
Skewness4.24219509
Sum44433
Variance0.6636891618
MonotonicityNot monotonic
2025-05-10T13:45:16.967074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 20644
 
0.9%
2 8886
 
0.4%
3 1261
 
0.1%
7 251
 
< 0.1%
9 53
 
< 0.1%
(Missing) 2348952
98.7%
ValueCountFrequency (%)
1 20644
0.9%
2 8886
0.4%
3 1261
 
0.1%
7 251
 
< 0.1%
9 53
 
< 0.1%
ValueCountFrequency (%)
9 53
 
< 0.1%
7 251
 
< 0.1%
3 1261
 
0.1%
2 8886
0.4%
1 20644
0.9%

BPALCADV
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing2348959
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean2.130918682
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:16.997590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8517920037
Coefficient of variation (CV)0.3997299431
Kurtosis9.875372212
Mean2.130918682
Median Absolute Deviation (MAD)1
Skewness1.496093966
Sum66246
Variance0.7255496176
MonotonicityNot monotonic
2025-05-10T13:45:17.027241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 13664
 
0.6%
3 10149
 
0.4%
1 7094
 
0.3%
7 126
 
< 0.1%
9 55
 
< 0.1%
(Missing) 2348959
98.7%
ValueCountFrequency (%)
1 7094
0.3%
2 13664
0.6%
3 10149
0.4%
7 126
 
< 0.1%
9 55
 
< 0.1%
ValueCountFrequency (%)
9 55
 
< 0.1%
7 126
 
< 0.1%
3 10149
0.4%
2 13664
0.6%
1 7094
0.3%

BPEXRADV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2348962
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.315135918
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.057364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7724866167
Coefficient of variation (CV)0.5873815826
Kurtosis44.14881727
Mean1.315135918
Median Absolute Deviation (MAD)0
Skewness5.723587046
Sum40881
Variance0.596735573
MonotonicityNot monotonic
2025-05-10T13:45:17.087981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 23099
 
1.0%
2 7652
 
0.3%
7 264
 
< 0.1%
9 70
 
< 0.1%
(Missing) 2348962
98.7%
ValueCountFrequency (%)
1 23099
1.0%
2 7652
 
0.3%
7 264
 
< 0.1%
9 70
 
< 0.1%
ValueCountFrequency (%)
9 70
 
< 0.1%
7 264
 
< 0.1%
2 7652
 
0.3%
1 23099
1.0%

BPMEDADV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2348968
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.118568809
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.119181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5338793455
Coefficient of variation (CV)0.4772878892
Kurtosis124.9244641
Mean1.118568809
Median Absolute Deviation (MAD)0
Skewness9.827428339
Sum34764
Variance0.2850271556
MonotonicityNot monotonic
2025-05-10T13:45:17.150832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 28189
 
1.2%
2 2755
 
0.1%
7 75
 
< 0.1%
9 60
 
< 0.1%
(Missing) 2348968
98.7%
ValueCountFrequency (%)
1 28189
1.2%
2 2755
 
0.1%
7 75
 
< 0.1%
9 60
 
< 0.1%
ValueCountFrequency (%)
9 60
 
< 0.1%
7 75
 
< 0.1%
2 2755
 
0.1%
1 28189
1.2%

BPHI2MR
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing2348986
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.592189562
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.181123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.200145747
Coefficient of variation (CV)0.7537706406
Kurtosis9.560143106
Mean1.592189562
Median Absolute Deviation (MAD)0
Skewness2.713813235
Sum49455
Variance1.440349813
MonotonicityNot monotonic
2025-05-10T13:45:17.212036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 23369
 
1.0%
3 6715
 
0.3%
7 568
 
< 0.1%
4 241
 
< 0.1%
9 95
 
< 0.1%
2 73
 
< 0.1%
(Missing) 2348986
98.7%
ValueCountFrequency (%)
1 23369
1.0%
2 73
 
< 0.1%
3 6715
 
0.3%
4 241
 
< 0.1%
7 568
 
< 0.1%
ValueCountFrequency (%)
9 95
 
< 0.1%
7 568
 
< 0.1%
4 241
 
< 0.1%
3 6715
0.3%
2 73
 
< 0.1%

HASYMP1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2355980
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.089707899
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.241463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.051539452
Coefficient of variation (CV)0.9817350323
Kurtosis1.809425292
Mean2.089707899
Median Absolute Deviation (MAD)0
Skewness1.88348704
Sum50293
Variance4.208814121
MonotonicityNot monotonic
2025-05-10T13:45:17.271106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 15075
 
0.6%
2 5552
 
0.2%
7 3423
 
0.1%
9 17
 
< 0.1%
(Missing) 2355980
99.0%
ValueCountFrequency (%)
1 15075
0.6%
2 5552
 
0.2%
7 3423
 
0.1%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 3423
 
0.1%
2 5552
 
0.2%
1 15075
0.6%

HASYMP2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2355991
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.222148321
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.300857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.167817361
Coefficient of variation (CV)0.9755502549
Kurtosis1.005834098
Mean2.222148321
Median Absolute Deviation (MAD)0
Skewness1.672534243
Sum53456
Variance4.699432109
MonotonicityNot monotonic
2025-05-10T13:45:17.330547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14548
 
0.6%
2 5536
 
0.2%
7 3956
 
0.2%
9 16
 
< 0.1%
(Missing) 2355991
99.0%
ValueCountFrequency (%)
1 14548
0.6%
2 5536
 
0.2%
7 3956
 
0.2%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
7 3956
 
0.2%
2 5536
 
0.2%
1 14548
0.6%

HASYMP3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2355994
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.246247869
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.360427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.094307304
Coefficient of variation (CV)0.8780815849
Kurtosis23.38870526
Mean1.246247869
Median Absolute Deviation (MAD)0
Skewness4.95327834
Sum29976
Variance1.197508476
MonotonicityNot monotonic
2025-05-10T13:45:17.390262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22156
 
0.9%
2 1097
 
< 0.1%
7 787
 
< 0.1%
9 13
 
< 0.1%
(Missing) 2355994
99.0%
ValueCountFrequency (%)
1 22156
0.9%
2 1097
 
< 0.1%
7 787
 
< 0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
7 787
 
< 0.1%
2 1097
 
< 0.1%
1 22156
0.9%

HASYMP4
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2355996
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.968067856
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.420059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.422173009
Coefficient of variation (CV)0.8160773696
Kurtosis-0.8411490673
Mean2.968067856
Median Absolute Deviation (MAD)1
Skewness0.9986383968
Sum71385
Variance5.866922084
MonotonicityNot monotonic
2025-05-10T13:45:17.452590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 10004
 
0.4%
1 7831
 
0.3%
7 6199
 
0.3%
9 17
 
< 0.1%
(Missing) 2355996
99.0%
ValueCountFrequency (%)
1 7831
0.3%
2 10004
0.4%
7 6199
0.3%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 6199
0.3%
2 10004
0.4%
1 7831
0.3%

HASYMP5
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356002
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.405656062
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.482968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.379515254
Coefficient of variation (CV)0.9814031265
Kurtosis12.25319204
Mean1.405656062
Median Absolute Deviation (MAD)0
Skewness3.705210802
Sum33799
Variance1.903062335
MonotonicityNot monotonic
2025-05-10T13:45:17.513422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20916
 
0.9%
2 1810
 
0.1%
7 1304
 
0.1%
9 15
 
< 0.1%
(Missing) 2356002
99.0%
ValueCountFrequency (%)
1 20916
0.9%
2 1810
 
0.1%
7 1304
 
0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
9 15
 
< 0.1%
7 1304
 
0.1%
2 1810
 
0.1%
1 20916
0.9%

HASYMP6
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356008
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.521153126
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.542536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.558907821
Coefficient of variation (CV)1.024819786
Kurtosis8.236276893
Mean1.521153126
Median Absolute Deviation (MAD)0
Skewness3.142735781
Sum36567
Variance2.430193595
MonotonicityNot monotonic
2025-05-10T13:45:17.572109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20217
 
0.8%
2 2086
 
0.1%
7 1723
 
0.1%
9 13
 
< 0.1%
(Missing) 2356008
99.0%
ValueCountFrequency (%)
1 20217
0.8%
2 2086
 
0.1%
7 1723
 
0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
7 1723
 
0.1%
2 2086
 
0.1%
1 20217
0.8%

STRSYMP1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356023
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.44484682
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.601956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.525115086
Coefficient of variation (CV)1.055554862
Kurtosis9.310830641
Mean1.44484682
Median Absolute Deviation (MAD)0
Skewness3.340132202
Sum34711
Variance2.325976024
MonotonicityNot monotonic
2025-05-10T13:45:17.631707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 21640
 
0.9%
7 1648
 
0.1%
2 727
 
< 0.1%
9 9
 
< 0.1%
(Missing) 2356023
99.0%
ValueCountFrequency (%)
1 21640
0.9%
2 727
 
< 0.1%
7 1648
 
0.1%
9 9
 
< 0.1%
ValueCountFrequency (%)
9 9
 
< 0.1%
7 1648
 
0.1%
2 727
 
< 0.1%
1 21640
0.9%

STRSYMP2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356023
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.271894772
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.661469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.200569863
Coefficient of variation (CV)0.9439223191
Kurtosis18.80024168
Mean1.271894772
Median Absolute Deviation (MAD)0
Skewness4.523136083
Sum30556
Variance1.441367995
MonotonicityNot monotonic
2025-05-10T13:45:17.691064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22447
 
0.9%
7 977
 
< 0.1%
2 590
 
< 0.1%
9 10
 
< 0.1%
(Missing) 2356023
99.0%
ValueCountFrequency (%)
1 22447
0.9%
2 590
 
< 0.1%
7 977
 
< 0.1%
9 10
 
< 0.1%
ValueCountFrequency (%)
9 10
 
< 0.1%
7 977
 
< 0.1%
2 590
 
< 0.1%
1 22447
0.9%

STRSYMP3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356028
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.391023773
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.719947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.440630763
Coefficient of variation (CV)1.020747176
Kurtosis-0.1558896026
Mean2.391023773
Median Absolute Deviation (MAD)0
Skewness1.334684467
Sum57430
Variance5.956678521
MonotonicityNot monotonic
2025-05-10T13:45:17.751677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 16602
 
0.7%
7 5182
 
0.2%
2 2223
 
0.1%
9 12
 
< 0.1%
(Missing) 2356028
99.0%
ValueCountFrequency (%)
1 16602
0.7%
2 2223
 
0.1%
7 5182
 
0.2%
9 12
 
< 0.1%
ValueCountFrequency (%)
9 12
 
< 0.1%
7 5182
 
0.2%
2 2223
 
0.1%
1 16602
0.7%

STRSYMP4
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356031
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.989132245
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.781616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.464996792
Coefficient of variation (CV)0.8246529726
Kurtosis-0.9553052339
Mean2.989132245
Median Absolute Deviation (MAD)1
Skewness0.9480616929
Sum71787
Variance6.076209182
MonotonicityNot monotonic
2025-05-10T13:45:17.813410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 9159
 
0.4%
1 8424
 
0.4%
7 6426
 
0.3%
9 7
 
< 0.1%
(Missing) 2356031
99.0%
ValueCountFrequency (%)
1 8424
0.4%
2 9159
0.4%
7 6426
0.3%
9 7
 
< 0.1%
ValueCountFrequency (%)
9 7
 
< 0.1%
7 6426
0.3%
2 9159
0.4%
1 8424
0.4%

STRSYMP5
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356036
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.623755779
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.843585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.761627756
Coefficient of variation (CV)1.084909306
Kurtosis5.407121933
Mean1.623755779
Median Absolute Deviation (MAD)0
Skewness2.694434972
Sum38988
Variance3.103332349
MonotonicityNot monotonic
2025-05-10T13:45:17.873274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20476
 
0.9%
7 2266
 
0.1%
2 1253
 
0.1%
9 16
 
< 0.1%
(Missing) 2356036
99.0%
ValueCountFrequency (%)
1 20476
0.9%
2 1253
 
0.1%
7 2266
 
0.1%
9 16
 
< 0.1%
ValueCountFrequency (%)
9 16
 
< 0.1%
7 2266
 
0.1%
2 1253
 
0.1%
1 20476
0.9%

STRSYMP6
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing2356035
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.493836415
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.903154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.458553085
Coefficient of variation (CV)0.9858517863
Kurtosis-0.346460007
Mean2.493836415
Median Absolute Deviation (MAD)0
Skewness1.252267357
Sum59882
Variance6.04448327
MonotonicityNot monotonic
2025-05-10T13:45:17.934156image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 15253
 
0.6%
7 5404
 
0.2%
2 3342
 
0.1%
9 13
 
< 0.1%
(Missing) 2356035
99.0%
ValueCountFrequency (%)
1 15253
0.6%
2 3342
 
0.1%
7 5404
 
0.2%
9 13
 
< 0.1%
ValueCountFrequency (%)
9 13
 
< 0.1%
7 5404
 
0.2%
2 3342
 
0.1%
1 15253
0.6%

FIRSTAID
Real number (ℝ)

Missing 

Distinct7
Distinct (%)< 0.1%
Missing2356042
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean3.006498646
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:17.967807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7510750561
Coefficient of variation (CV)0.2498171942
Kurtosis10.68634599
Mean3.006498646
Median Absolute Deviation (MAD)0
Skewness1.091504416
Sum72171
Variance0.5641137398
MonotonicityNot monotonic
2025-05-10T13:45:17.998807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 21011
 
0.9%
1 1424
 
0.1%
5 1137
 
< 0.1%
4 153
 
< 0.1%
7 142
 
< 0.1%
2 117
 
< 0.1%
9 21
 
< 0.1%
(Missing) 2356042
99.0%
ValueCountFrequency (%)
1 1424
 
0.1%
2 117
 
< 0.1%
3 21011
0.9%
4 153
 
< 0.1%
5 1137
 
< 0.1%
ValueCountFrequency (%)
9 21
 
< 0.1%
7 142
 
< 0.1%
5 1137
 
< 0.1%
4 153
 
< 0.1%
3 21011
0.9%

PCPSAREC
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377562
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.650301811
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.028092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119133887
Coefficient of variation (CV)0.6781389198
Kurtosis15.29968564
Mean1.650301811
Median Absolute Deviation (MAD)0
Skewness3.678444302
Sum4101
Variance1.252460658
MonotonicityNot monotonic
2025-05-10T13:45:18.059890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1291
 
0.1%
2 1110
 
< 0.1%
7 83
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2377562
99.9%
ValueCountFrequency (%)
1 1291
0.1%
2 1110
< 0.1%
7 83
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 83
 
< 0.1%
2 1110
< 0.1%
1 1291
0.1%

PCPSARSN
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.4%
Missing2378674
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.40203933
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.089581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8656357688
Coefficient of variation (CV)0.6174119016
Kurtosis15.65487749
Mean1.40203933
Median Absolute Deviation (MAD)0
Skewness3.210291349
Sum1925
Variance0.7493252842
MonotonicityNot monotonic
2025-05-10T13:45:18.121336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1049
 
< 0.1%
3 171
 
< 0.1%
2 142
 
< 0.1%
7 10
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2378674
99.9%
ValueCountFrequency (%)
1 1049
< 0.1%
2 142
 
< 0.1%
3 171
 
< 0.1%
7 10
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 10
 
< 0.1%
3 171
 
< 0.1%
2 142
 
< 0.1%
1 1049
< 0.1%

PCPSAADV
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.3%
Missing2378675
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.63483965
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.151069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232922635
Coefficient of variation (CV)0.7541550848
Kurtosis12.94370385
Mean1.63483965
Median Absolute Deviation (MAD)0
Skewness3.517454183
Sum2243
Variance1.520098224
MonotonicityNot monotonic
2025-05-10T13:45:18.181720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 793
 
< 0.1%
2 521
 
< 0.1%
7 57
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2378675
99.9%
ValueCountFrequency (%)
1 793
< 0.1%
2 521
< 0.1%
7 57
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 57
 
< 0.1%
2 521
< 0.1%
1 793
< 0.1%

PCPSADIS
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.3%
Missing2378675
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.964285714
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.212130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.275148194
Coefficient of variation (CV)0.6491663535
Kurtosis10.7437075
Mean1.964285714
Median Absolute Deviation (MAD)0
Skewness3.220706012
Sum2695
Variance1.626002918
MonotonicityNot monotonic
2025-05-10T13:45:18.242658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 893
 
< 0.1%
1 408
 
< 0.1%
7 69
 
< 0.1%
9 2
 
< 0.1%
(Missing) 2378675
99.9%
ValueCountFrequency (%)
1 408
< 0.1%
2 893
< 0.1%
7 69
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 69
 
< 0.1%
2 893
< 0.1%
1 408
< 0.1%

PROSTATE
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing2377567
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.97016129
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.272964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3523630455
Coefficient of variation (CV)0.1788498471
Kurtosis164.3719768
Mean1.97016129
Median Absolute Deviation (MAD)0
Skewness9.31665407
Sum4886
Variance0.1241597158
MonotonicityNot monotonic
2025-05-10T13:45:18.303062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2362
 
0.1%
1 111
 
< 0.1%
7 6
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2377567
99.9%
ValueCountFrequency (%)
1 111
 
< 0.1%
2 2362
0.1%
7 6
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 6
 
< 0.1%
2 2362
0.1%
1 111
 
< 0.1%

SMCQUITL
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2374213
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.673980117
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.334171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9056189893
Coefficient of variation (CV)0.5409974589
Kurtosis27.08077514
Mean1.673980117
Median Absolute Deviation (MAD)0
Skewness4.361921795
Sum9766
Variance0.8201457538
MonotonicityNot monotonic
2025-05-10T13:45:18.367253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 3286
 
0.1%
1 2446
 
0.1%
7 85
 
< 0.1%
9 17
 
< 0.1%
(Missing) 2374213
99.8%
ValueCountFrequency (%)
1 2446
0.1%
2 3286
0.1%
7 85
 
< 0.1%
9 17
 
< 0.1%
ValueCountFrequency (%)
9 17
 
< 0.1%
7 85
 
< 0.1%
2 3286
0.1%
1 2446
0.1%

SMCTRYQT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)2.4%
Missing2379882
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.424242424
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.397846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.137774438
Coefficient of variation (CV)0.7988629035
Kurtosis29.1350818
Mean1.424242424
Median Absolute Deviation (MAD)0
Skewness5.092497402
Sum235
Variance1.294530673
MonotonicityNot monotonic
2025-05-10T13:45:18.429521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 119
 
< 0.1%
2 42
 
< 0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
(Missing) 2379882
> 99.9%
ValueCountFrequency (%)
1 119
< 0.1%
2 42
 
< 0.1%
7 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 2
 
< 0.1%
2 42
 
< 0.1%
1 119
< 0.1%

SMCCALQT
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.5%
Missing2379626
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.893111639
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.460755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3093388639
Coefficient of variation (CV)0.1634023359
Kurtosis4.543232924
Mean1.893111639
Median Absolute Deviation (MAD)0
Skewness-2.553756497
Sum797
Variance0.09569053275
MonotonicityNot monotonic
2025-05-10T13:45:18.491047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 376
 
< 0.1%
1 45
 
< 0.1%
(Missing) 2379626
> 99.9%
ValueCountFrequency (%)
1 45
 
< 0.1%
2 376
< 0.1%
ValueCountFrequency (%)
2 376
< 0.1%
1 45
 
< 0.1%

SMCPROGQ
Real number (ℝ)

Missing 

Distinct3
Distinct (%)0.5%
Missing2379440
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.876441516
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.518602image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6367889663
Coefficient of variation (CV)0.3393598793
Kurtosis39.52089462
Mean1.876441516
Median Absolute Deviation (MAD)0
Skewness4.726921823
Sum1139
Variance0.4055001876
MonotonicityNot monotonic
2025-05-10T13:45:18.546486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 496
 
< 0.1%
1 105
 
< 0.1%
7 6
 
< 0.1%
(Missing) 2379440
> 99.9%
ValueCountFrequency (%)
1 105
 
< 0.1%
2 496
< 0.1%
7 6
 
< 0.1%
ValueCountFrequency (%)
7 6
 
< 0.1%
2 496
< 0.1%
1 105
 
< 0.1%

SMCCNSLQ
Real number (ℝ)

Missing 

Distinct3
Distinct (%)0.5%
Missing2379440
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.907742998
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.574311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5183650483
Coefficient of variation (CV)0.271716394
Kurtosis114.8856107
Mean1.907742998
Median Absolute Deviation (MAD)0
Skewness7.863437942
Sum1158
Variance0.2687023233
MonotonicityNot monotonic
2025-05-10T13:45:18.605394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 535
 
< 0.1%
1 70
 
< 0.1%
9 2
 
< 0.1%
(Missing) 2379440
> 99.9%
ValueCountFrequency (%)
1 70
 
< 0.1%
2 535
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
2 535
< 0.1%
1 70
 
< 0.1%

SMCMEDQT
Real number (ℝ)

Missing 

Distinct3
Distinct (%)0.5%
Missing2379442
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.601652893
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.634706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5768697603
Coefficient of variation (CV)0.3601715222
Kurtosis42.8492414
Mean1.601652893
Median Absolute Deviation (MAD)0
Skewness3.23141315
Sum969
Variance0.3327787204
MonotonicityNot monotonic
2025-05-10T13:45:18.665885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 356
 
< 0.1%
1 248
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2379442
> 99.9%
ValueCountFrequency (%)
1 248
< 0.1%
2 356
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
2 356
< 0.1%
1 248
< 0.1%

SMCTIMEQ
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.4%
Missing2379103
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.774364407
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.695530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.94096114
Coefficient of variation (CV)0.5303088455
Kurtosis28.89655029
Mean1.774364407
Median Absolute Deviation (MAD)0
Skewness4.595799332
Sum1675
Variance0.8854078671
MonotonicityNot monotonic
2025-05-10T13:45:18.725914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 613
 
< 0.1%
1 313
 
< 0.1%
7 13
 
< 0.1%
9 5
 
< 0.1%
(Missing) 2379103
> 99.9%
ValueCountFrequency (%)
1 313
< 0.1%
2 613
< 0.1%
7 13
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 13
 
< 0.1%
2 613
< 0.1%
1 313
< 0.1%

SMCPLANQ
Real number (ℝ)

Missing 

Distinct7
Distinct (%)2.2%
Missing2379734
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean2.920127796
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.755540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464322713
Coefficient of variation (CV)0.5014584347
Kurtosis1.264056347
Mean2.920127796
Median Absolute Deviation (MAD)1
Skewness0.9898157171
Sum914
Variance2.144241009
MonotonicityNot monotonic
2025-05-10T13:45:18.787988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 94
 
< 0.1%
2 86
 
< 0.1%
1 48
 
< 0.1%
4 41
 
< 0.1%
5 31
 
< 0.1%
7 12
 
< 0.1%
9 1
 
< 0.1%
(Missing) 2379734
> 99.9%
ValueCountFrequency (%)
1 48
< 0.1%
2 86
< 0.1%
3 94
< 0.1%
4 41
< 0.1%
5 31
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 12
 
< 0.1%
5 31
 
< 0.1%
4 41
< 0.1%
3 94
< 0.1%

SHSNWRK1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSNHOM1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSRIDEV
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSINPUB
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSHOMES
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSVHICL
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

SHSALOW1
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

CINOADLT
Real number (ℝ)

Missing 

Distinct9
Distinct (%)< 0.1%
Missing2350506
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean7.371246742
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.820203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.003547438
Coefficient of variation (CV)0.2718057756
Kurtosis5.977397603
Mean7.371246742
Median Absolute Deviation (MAD)0
Skewness-2.810688159
Sum217754
Variance4.014202335
MonotonicityNot monotonic
2025-05-10T13:45:18.851370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 26334
 
1.1%
1 2469
 
0.1%
9 342
 
< 0.1%
2 228
 
< 0.1%
7 141
 
< 0.1%
3 20
 
< 0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
(Missing) 2350506
98.8%
ValueCountFrequency (%)
1 2469
0.1%
2 228
 
< 0.1%
3 20
 
< 0.1%
4 4
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
9 342
 
< 0.1%
8 26334
1.1%
7 141
 
< 0.1%
6 1
 
< 0.1%
5 2
 
< 0.1%

CIRBIAGE
Real number (ℝ)

Missing 

Distinct10
Distinct (%)0.5%
Missing2378007
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean7.271568627
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.884242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.62585589
Coefficient of variation (CV)1.736331806
Kurtosis34.94384934
Mean7.271568627
Median Absolute Deviation (MAD)1
Skewness5.951844718
Sum14834
Variance159.4122369
MonotonicityNot monotonic
2025-05-10T13:45:18.914485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 448
 
< 0.1%
5 405
 
< 0.1%
7 391
 
< 0.1%
4 304
 
< 0.1%
3 147
 
< 0.1%
8 134
 
< 0.1%
2 86
 
< 0.1%
1 72
 
< 0.1%
77 38
 
< 0.1%
99 15
 
< 0.1%
(Missing) 2378007
99.9%
ValueCountFrequency (%)
1 72
 
< 0.1%
2 86
 
< 0.1%
3 147
 
< 0.1%
4 304
< 0.1%
5 405
< 0.1%
ValueCountFrequency (%)
99 15
 
< 0.1%
77 38
 
< 0.1%
8 134
 
< 0.1%
7 391
< 0.1%
6 448
< 0.1%

CIHOWOFT
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2374463
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean3.89756447
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:18.942299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.366509618
Coefficient of variation (CV)0.3506060332
Kurtosis0.3382639055
Mean3.89756447
Median Absolute Deviation (MAD)1
Skewness-0.3380447201
Sum21764
Variance1.867348536
MonotonicityNot monotonic
2025-05-10T13:45:18.973796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 2422
 
0.1%
3 1380
 
0.1%
4 898
 
< 0.1%
1 438
 
< 0.1%
2 338
 
< 0.1%
7 82
 
< 0.1%
9 26
 
< 0.1%
(Missing) 2374463
99.8%
ValueCountFrequency (%)
1 438
 
< 0.1%
2 338
 
< 0.1%
3 1380
0.1%
4 898
 
< 0.1%
5 2422
0.1%
ValueCountFrequency (%)
9 26
 
< 0.1%
7 82
 
< 0.1%
5 2422
0.1%
4 898
 
< 0.1%
3 1380
0.1%

CIASSIST
Real number (ℝ)

Missing 

Distinct8
Distinct (%)0.1%
Missing2374466
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean4.153377531
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.003664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.859814075
Coefficient of variation (CV)0.4477835355
Kurtosis-1.148416384
Mean4.153377531
Median Absolute Deviation (MAD)2
Skewness-0.02655925816
Sum23180
Variance3.458908393
MonotonicityNot monotonic
2025-05-10T13:45:19.034586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 1991
 
0.1%
3 1199
 
0.1%
2 845
 
< 0.1%
4 681
 
< 0.1%
1 419
 
< 0.1%
5 206
 
< 0.1%
7 193
 
< 0.1%
9 47
 
< 0.1%
(Missing) 2374466
99.8%
ValueCountFrequency (%)
1 419
 
< 0.1%
2 845
< 0.1%
3 1199
0.1%
4 681
< 0.1%
5 206
 
< 0.1%
ValueCountFrequency (%)
9 47
 
< 0.1%
7 193
 
< 0.1%
6 1991
0.1%
5 206
 
< 0.1%
4 681
 
< 0.1%

CIINTFER
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2374468
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean3.802473562
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.064587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457312139
Coefficient of variation (CV)0.3832537204
Kurtosis0.2248297802
Mean3.802473562
Median Absolute Deviation (MAD)1
Skewness-0.3127383976
Sum21214
Variance2.123758671
MonotonicityNot monotonic
2025-05-10T13:45:19.095332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 2301
 
0.1%
3 1192
 
0.1%
4 1006
 
< 0.1%
1 633
 
< 0.1%
2 345
 
< 0.1%
7 66
 
< 0.1%
9 36
 
< 0.1%
(Missing) 2374468
99.8%
ValueCountFrequency (%)
1 633
 
< 0.1%
2 345
 
< 0.1%
3 1192
0.1%
4 1006
< 0.1%
5 2301
0.1%
ValueCountFrequency (%)
9 36
 
< 0.1%
7 66
 
< 0.1%
5 2301
0.1%
4 1006
< 0.1%
3 1192
0.1%

CIFAMCAR
Real number (ℝ)

Missing 

Distinct7
Distinct (%)0.1%
Missing2374479
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean3.946659483
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.124805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.480315597
Coefficient of variation (CV)0.3750806482
Kurtosis0.2105534891
Mean3.946659483
Median Absolute Deviation (MAD)0
Skewness-0.5623731969
Sum21975
Variance2.191334267
MonotonicityNot monotonic
2025-05-10T13:45:19.155854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 2896
 
0.1%
3 947
 
< 0.1%
4 689
 
< 0.1%
1 645
 
< 0.1%
2 312
 
< 0.1%
7 41
 
< 0.1%
9 38
 
< 0.1%
(Missing) 2374479
99.8%
ValueCountFrequency (%)
1 645
 
< 0.1%
2 312
 
< 0.1%
3 947
 
< 0.1%
4 689
 
< 0.1%
5 2896
0.1%
ValueCountFrequency (%)
9 38
 
< 0.1%
7 41
 
< 0.1%
5 2896
0.1%
4 689
 
< 0.1%
3 947
 
< 0.1%

CIHCPROF
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.1%
Missing2374481
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.794107079
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.186298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9888912822
Coefficient of variation (CV)0.5511885517
Kurtosis27.23026696
Mean1.794107079
Median Absolute Deviation (MAD)0
Skewness4.560887344
Sum9986
Variance0.977905968
MonotonicityNot monotonic
2025-05-10T13:45:19.216189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 3632
 
0.2%
1 1815
 
0.1%
7 82
 
< 0.1%
9 37
 
< 0.1%
(Missing) 2374481
99.8%
ValueCountFrequency (%)
1 1815
0.1%
2 3632
0.2%
7 82
 
< 0.1%
9 37
 
< 0.1%
ValueCountFrequency (%)
9 37
 
< 0.1%
7 82
 
< 0.1%
2 3632
0.2%
1 1815
0.1%

CIMEDS
Real number (ℝ)

Missing 

Distinct3
Distinct (%)0.2%
Missing2378232
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean1.533884298
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.244827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7614130207
Coefficient of variation (CV)0.4963953422
Kurtosis26.56822975
Mean1.533884298
Median Absolute Deviation (MAD)0
Skewness4.01115166
Sum2784
Variance0.5797497881
MonotonicityNot monotonic
2025-05-10T13:45:19.272944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 946
 
< 0.1%
2 849
 
< 0.1%
7 20
 
< 0.1%
(Missing) 2378232
99.9%
ValueCountFrequency (%)
1 946
< 0.1%
2 849
< 0.1%
7 20
 
< 0.1%
ValueCountFrequency (%)
7 20
 
< 0.1%
2 849
< 0.1%
1 946
< 0.1%

CIDIAGAZ
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.3%
Missing2378232
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean2.752066116
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.301759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9607598036
Coefficient of variation (CV)0.3491049136
Kurtosis10.74595898
Mean2.752066116
Median Absolute Deviation (MAD)0
Skewness1.916115397
Sum4995
Variance0.9230594003
MonotonicityNot monotonic
2025-05-10T13:45:19.333025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1306
 
0.1%
2 290
 
< 0.1%
1 174
 
< 0.1%
7 41
 
< 0.1%
9 4
 
< 0.1%
(Missing) 2378232
99.9%
ValueCountFrequency (%)
1 174
 
< 0.1%
2 290
 
< 0.1%
3 1306
0.1%
7 41
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
9 4
 
< 0.1%
7 41
 
< 0.1%
3 1306
0.1%
2 290
 
< 0.1%
1 174
 
< 0.1%

WHRTST9
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

HIVRDTS2
Unsupported

Missing  Rejected  Unsupported 

Missing2380047
Missing (%)100.0%
Memory size18.2 MiB

CHIMRCVE
Real number (ℝ)

Missing 

Distinct13
Distinct (%)0.4%
Missing2376773
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean3.419670128
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.365666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile11
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.070780728
Coefficient of variation (CV)2.652530913
Kurtosis58.91941239
Mean3.419670128
Median Absolute Deviation (MAD)0
Skewness7.435302422
Sum11196
Variance82.27906301
MonotonicityNot monotonic
2025-05-10T13:45:19.397897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 2273
 
0.1%
3 279
 
< 0.1%
11 200
 
< 0.1%
6 170
 
< 0.1%
2 121
 
< 0.1%
5 88
 
< 0.1%
9 61
 
< 0.1%
77 41
 
< 0.1%
8 22
 
< 0.1%
4 10
 
< 0.1%
Other values (3) 9
 
< 0.1%
(Missing) 2376773
99.9%
ValueCountFrequency (%)
1 2273
0.1%
2 121
 
< 0.1%
3 279
 
< 0.1%
4 10
 
< 0.1%
5 88
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
77 41
 
< 0.1%
11 200
< 0.1%
10 5
 
< 0.1%
9 61
 
< 0.1%

METVAL1_
Real number (ℝ)

Missing 

Distinct27
Distinct (%)< 0.1%
Missing2028792
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean42.51782893
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.430563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile35
Q135
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.34298179
Coefficient of variation (CV)0.360859954
Kurtosis1.973294111
Mean42.51782893
Median Absolute Deviation (MAD)0
Skewness0.3226438389
Sum14934600
Variance235.4070903
MonotonicityNot monotonic
2025-05-10T13:45:19.651035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35 200060
 
8.4%
50 31972
 
1.3%
60 28705
 
1.2%
45 20178
 
0.8%
68 16950
 
0.7%
5.397605347 × 10-7912378
 
0.5%
73 11744
 
0.5%
38 6614
 
0.3%
70 6088
 
0.3%
55 3182
 
0.1%
Other values (17) 13384
 
0.6%
(Missing) 2028792
85.2%
ValueCountFrequency (%)
5.397605347 × 10-7912378
 
0.5%
25 90
 
< 0.1%
30 1028
 
< 0.1%
33 115
 
< 0.1%
35 200060
8.4%
ValueCountFrequency (%)
128 280
< 0.1%
125 91
 
< 0.1%
120 30
 
< 0.1%
110 43
 
< 0.1%
98 22
 
< 0.1%

METVAL2_
Real number (ℝ)

Missing 

Distinct27
Distinct (%)< 0.1%
Missing2035836
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean28.1594981
Minimum5.397605347 × 10-79
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.685242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median35
Q350
95-th percentile70
Maximum128
Range128
Interquartile range (IQR)50

Descriptive statistics

Standard deviation26.99579091
Coefficient of variation (CV)0.9586744345
Kurtosis-1.146727928
Mean28.1594981
Median Absolute Deviation (MAD)33
Skewness0.2690287537
Sum9692809
Variance728.7727271
MonotonicityNot monotonic
2025-05-10T13:45:19.722241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5.397605347 × 10-79150169
 
6.3%
35 52456
 
2.2%
45 33971
 
1.4%
50 28727
 
1.2%
60 17597
 
0.7%
68 16707
 
0.7%
38 8268
 
0.3%
73 7626
 
0.3%
55 6175
 
0.3%
70 4588
 
0.2%
Other values (17) 17927
 
0.8%
(Missing) 2035836
85.5%
ValueCountFrequency (%)
5.397605347 × 10-79150169
6.3%
25 168
 
< 0.1%
30 1417
 
0.1%
33 294
 
< 0.1%
35 52456
 
2.2%
ValueCountFrequency (%)
128 301
< 0.1%
125 183
< 0.1%
120 39
 
< 0.1%
110 118
 
< 0.1%
98 33
 
< 0.1%

ACTINT1_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2031963
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean1.298034383
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.753450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5293711182
Coefficient of variation (CV)0.4078251897
Kurtosis-0.6215765402
Mean1.298034383
Median Absolute Deviation (MAD)0
Skewness0.1415905281
Sum451825
Variance0.2802337808
MonotonicityNot monotonic
2025-05-10T13:45:19.784381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 219621
 
9.2%
2 116102
 
4.9%
5.397605347 × 10-7912361
 
0.5%
(Missing) 2031963
85.4%
ValueCountFrequency (%)
5.397605347 × 10-7912361
 
0.5%
1 219621
9.2%
2 116102
4.9%
ValueCountFrequency (%)
2 116102
4.9%
1 219621
9.2%
5.397605347 × 10-7912361
 
0.5%

ACTINT2_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing2038906
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean0.8448119692
Minimum5.397605347 × 10-79
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.814446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.832950551
Coefficient of variation (CV)0.9859596943
Kurtosis-1.49688374
Mean0.8448119692
Median Absolute Deviation (MAD)1
Skewness0.296867041
Sum288200
Variance0.6938066203
MonotonicityNot monotonic
2025-05-10T13:45:19.846818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79148921
 
6.3%
1 96240
 
4.0%
2 95980
 
4.0%
(Missing) 2038906
85.7%
ValueCountFrequency (%)
5.397605347 × 10-79148921
6.3%
1 96240
4.0%
2 95980
4.0%
ValueCountFrequency (%)
2 95980
4.0%
1 96240
4.0%
5.397605347 × 10-79148921
6.3%

_MINACT1
Real number (ℝ)

Missing 

Distinct827
Distinct (%)0.2%
Missing2037804
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean226.3533513
Minimum5.397605347 × 10-79
Maximum32400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.884640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile7
Q170
median140
Q3245
95-th percentile720
Maximum32400
Range32400
Interquartile range (IQR)175

Descriptive statistics

Standard deviation336.4086619
Coefficient of variation (CV)1.486210211
Kurtosis472.9687764
Mean226.3533513
Median Absolute Deviation (MAD)80
Skewness11.2854004
Sum77467850
Variance113170.7878
MonotonicityNot monotonic
2025-05-10T13:45:19.925535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 23956
 
1.0%
90 22732
 
1.0%
120 22215
 
0.9%
60 20955
 
0.9%
210 19131
 
0.8%
5.397605347 × 10-7916052
 
0.7%
420 13977
 
0.6%
240 11748
 
0.5%
150 10199
 
0.4%
140 10014
 
0.4%
Other values (817) 171264
 
7.2%
(Missing) 2037804
85.6%
ValueCountFrequency (%)
5.397605347 × 10-7916052
0.7%
2 64
 
< 0.1%
3 117
 
< 0.1%
4 2
 
< 0.1%
5 323
 
< 0.1%
ValueCountFrequency (%)
32400 1
< 0.1%
21000 1
< 0.1%
17970 2
< 0.1%
16650 1
< 0.1%
15000 1
< 0.1%

_MINACT2
Real number (ℝ)

Missing  Skewed 

Distinct674
Distinct (%)0.2%
Missing2041341
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean110.6464308
Minimum5.397605347 × 10-79
Maximum36000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:19.965766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median28
Q3120
95-th percentile420
Maximum36000
Range36000
Interquartile range (IQR)120

Descriptive statistics

Standard deviation314.3967341
Coefficient of variation (CV)2.841453916
Kurtosis2051.274822
Mean110.6464308
Median Absolute Deviation (MAD)28
Skewness26.75904022
Sum37476610
Variance98845.30643
MonotonicityNot monotonic
2025-05-10T13:45:20.007159image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79153947
 
6.5%
60 18762
 
0.8%
120 15101
 
0.6%
90 11671
 
0.5%
180 10250
 
0.4%
30 7851
 
0.3%
210 6344
 
0.3%
240 6191
 
0.3%
420 4891
 
0.2%
140 4634
 
0.2%
Other values (664) 99064
 
4.2%
(Missing) 2041341
85.8%
ValueCountFrequency (%)
5.397605347 × 10-79153947
6.5%
2 82
 
< 0.1%
3 125
 
< 0.1%
4 1
 
< 0.1%
5 337
 
< 0.1%
ValueCountFrequency (%)
36000 2
< 0.1%
29950 1
< 0.1%
29425 1
< 0.1%
28800 1
< 0.1%
22875 1
< 0.1%

PAMISS_
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean0.4560553797
Minimum5.397605347 × 10-79
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.041170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q35.397605347 × 10-79
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.875348614
Coefficient of variation (CV)4.112107207
Kurtosis16.56376898
Mean0.4560553797
Median Absolute Deviation (MAD)0
Skewness4.281450512
Sum230977
Variance3.516932423
MonotonicityNot monotonic
2025-05-10T13:45:20.068310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5.397605347 × 10-79459442
 
19.3%
1 24031
 
1.0%
9 22994
 
1.0%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
5.397605347 × 10-79459442
19.3%
1 24031
 
1.0%
9 22994
 
1.0%
ValueCountFrequency (%)
9 22994
 
1.0%
1 24031
 
1.0%
5.397605347 × 10-79459442
19.3%

PAMIN1_
Real number (ℝ)

Missing 

Distinct979
Distinct (%)0.3%
Missing2040788
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean309.7645634
Minimum5.397605347 × 10-79
Maximum35940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.102408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile7
Q190
median180
Q3360
95-th percentile960
Maximum35940
Range35940
Interquartile range (IQR)270

Descriptive statistics

Standard deviation497.3554948
Coefficient of variation (CV)1.605591968
Kurtosis281.7943791
Mean309.7645634
Median Absolute Deviation (MAD)120
Skewness9.380894666
Sum105090416
Variance247362.4882
MonotonicityNot monotonic
2025-05-10T13:45:20.144327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 21379
 
0.9%
120 19963
 
0.8%
90 16960
 
0.7%
60 16886
 
0.7%
5.397605347 × 10-7915905
 
0.7%
420 15745
 
0.7%
210 15463
 
0.6%
240 15120
 
0.6%
360 13935
 
0.6%
300 9159
 
0.4%
Other values (969) 178744
 
7.5%
(Missing) 2040788
85.7%
ValueCountFrequency (%)
5.397605347 × 10-7915905
0.7%
2 40
 
< 0.1%
3 77
 
< 0.1%
4 25
 
< 0.1%
5 222
 
< 0.1%
ValueCountFrequency (%)
35940 1
< 0.1%
32400 1
< 0.1%
30000 1
< 0.1%
26280 1
< 0.1%
21600 1
< 0.1%

PAMIN2_
Real number (ℝ)

Missing 

Distinct776
Distinct (%)0.2%
Missing2044327
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean163.7791701
Minimum5.397605347 × 10-79
Maximum45750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.185764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median30
Q3168
95-th percentile720
Maximum45750
Range45750
Interquartile range (IQR)168

Descriptive statistics

Standard deviation456.9357052
Coefficient of variation (CV)2.789950058
Kurtosis954.4485626
Mean163.7791701
Median Absolute Deviation (MAD)30
Skewness18.10741489
Sum54983943
Variance208790.2387
MonotonicityNot monotonic
2025-05-10T13:45:20.225076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79152503
 
6.4%
120 16286
 
0.7%
60 13336
 
0.6%
240 10624
 
0.4%
180 10496
 
0.4%
90 7870
 
0.3%
360 7025
 
0.3%
420 5374
 
0.2%
210 5279
 
0.2%
140 4622
 
0.2%
Other values (766) 102305
 
4.3%
(Missing) 2044327
85.9%
ValueCountFrequency (%)
5.397605347 × 10-79152503
6.4%
2 35
 
< 0.1%
3 43
 
< 0.1%
4 48
 
< 0.1%
5 145
 
< 0.1%
ValueCountFrequency (%)
45750 1
< 0.1%
36000 2
< 0.1%
33000 1
< 0.1%
29950 1
< 0.1%
29425 1
< 0.1%

PAMIN_
Real number (ℝ)

Missing 

Distinct2948
Distinct (%)0.9%
Missing2034207
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean462.8566938
Minimum5.397605347 × 10-79
Maximum68940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.263985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile28
Q1120
median270
Q3537
95-th percentile1560
Maximum68940
Range68940
Interquartile range (IQR)417

Descriptive statistics

Standard deviation712.9802611
Coefficient of variation (CV)1.540390947
Kurtosis470.5744987
Mean462.8566938
Median Absolute Deviation (MAD)177
Skewness11.01913897
Sum160074359
Variance508340.8527
MonotonicityNot monotonic
2025-05-10T13:45:20.306565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 13409
 
0.6%
120 12292
 
0.5%
420 11925
 
0.5%
210 11122
 
0.5%
60 10888
 
0.5%
90 10413
 
0.4%
240 9961
 
0.4%
5.397605347 × 10-799568
 
0.4%
360 9371
 
0.4%
300 8276
 
0.3%
Other values (2938) 238615
 
10.0%
(Missing) 2034207
85.5%
ValueCountFrequency (%)
5.397605347 × 10-799568
0.4%
2 33
 
< 0.1%
3 57
 
< 0.1%
4 22
 
< 0.1%
5 174
 
< 0.1%
ValueCountFrequency (%)
68940 1
< 0.1%
45840 1
< 0.1%
36840 1
< 0.1%
36350 1
< 0.1%
32520 1
< 0.1%

PAVIGM1_
Real number (ℝ)

Missing 

Distinct623
Distinct (%)0.2%
Missing2035988
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean82.4230786
Minimum5.397605347 × 10-79
Maximum17970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.347793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q390
95-th percentile420
Maximum17970
Range17970
Interquartile range (IQR)90

Descriptive statistics

Standard deviation229.0852883
Coefficient of variation (CV)2.779382816
Kurtosis284.0365328
Mean82.4230786
Median Absolute Deviation (MAD)0
Skewness9.53507188
Sum28358402
Variance52480.0693
MonotonicityNot monotonic
2025-05-10T13:45:20.389231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79233588
 
9.8%
180 9077
 
0.4%
120 7968
 
0.3%
90 6691
 
0.3%
60 5880
 
0.2%
210 5857
 
0.2%
240 4506
 
0.2%
420 3951
 
0.2%
360 3709
 
0.2%
140 3347
 
0.1%
Other values (613) 59485
 
2.5%
(Missing) 2035988
85.5%
ValueCountFrequency (%)
5.397605347 × 10-79233588
9.8%
2 23
 
< 0.1%
3 38
 
< 0.1%
5 96
 
< 0.1%
6 8
 
< 0.1%
ValueCountFrequency (%)
17970 1
< 0.1%
15000 1
< 0.1%
13140 1
< 0.1%
10800 1
< 0.1%
9000 1
< 0.1%

PAVIGM2_
Real number (ℝ)

Missing 

Distinct515
Distinct (%)0.2%
Missing2042307
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean52.89322852
Minimum5.397605347 × 10-79
Maximum22875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.430338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q321
95-th percentile240
Maximum22875
Range22875
Interquartile range (IQR)21

Descriptive statistics

Standard deviation196.6780596
Coefficient of variation (CV)3.718397707
Kurtosis974.3223425
Mean52.89322852
Median Absolute Deviation (MAD)0
Skewness17.38819813
Sum17864159
Variance38682.25914
MonotonicityNot monotonic
2025-05-10T13:45:20.471886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79247347
 
10.4%
60 8932
 
0.4%
120 7627
 
0.3%
90 5495
 
0.2%
180 5159
 
0.2%
30 3660
 
0.2%
240 3147
 
0.1%
210 2680
 
0.1%
28 2242
 
0.1%
360 2217
 
0.1%
Other values (505) 49234
 
2.1%
(Missing) 2042307
85.8%
ValueCountFrequency (%)
5.397605347 × 10-79247347
10.4%
2 47
 
< 0.1%
3 82
 
< 0.1%
5 190
 
< 0.1%
6 16
 
< 0.1%
ValueCountFrequency (%)
22875 1
< 0.1%
16500 1
< 0.1%
13425 1
< 0.1%
11000 1
< 0.1%
10800 1
< 0.1%

PAVIGMN_
Real number (ℝ)

Missing 

Distinct1596
Distinct (%)0.5%
Missing2032936
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean133.1636307
Minimum5.397605347 × 10-79
Maximum34470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.510428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median5.397605347 × 10-79
Q3150
95-th percentile600
Maximum34470
Range34470
Interquartile range (IQR)150

Descriptive statistics

Standard deviation315.9898501
Coefficient of variation (CV)2.372944088
Kurtosis596.2410799
Mean133.1636307
Median Absolute Deviation (MAD)0
Skewness11.52539259
Sum46222561
Variance99849.58538
MonotonicityNot monotonic
2025-05-10T13:45:20.552279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79182497
 
7.7%
120 10718
 
0.5%
60 10132
 
0.4%
180 10004
 
0.4%
90 8323
 
0.3%
210 5805
 
0.2%
240 5781
 
0.2%
360 4569
 
0.2%
420 4433
 
0.2%
30 3863
 
0.2%
Other values (1586) 100986
 
4.2%
(Missing) 2032936
85.4%
ValueCountFrequency (%)
5.397605347 × 10-79182497
7.7%
2 51
 
< 0.1%
3 86
 
< 0.1%
5 213
 
< 0.1%
6 18
 
< 0.1%
ValueCountFrequency (%)
34470 1
< 0.1%
22875 1
< 0.1%
15675 1
< 0.1%
15000 1
< 0.1%
13777 1
< 0.1%

_PACAT
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean3.005404103
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.585914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.17394828
Coefficient of variation (CV)0.7233464138
Kurtosis2.187400329
Mean3.005404103
Median Absolute Deviation (MAD)1
Skewness1.566491263
Sum1522138
Variance4.726051125
MonotonicityNot monotonic
2025-05-10T13:45:20.616877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 152907
 
6.4%
4 134785
 
5.7%
3 89049
 
3.7%
2 86370
 
3.6%
9 43356
 
1.8%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 152907
6.4%
2 86370
3.6%
3 89049
3.7%
4 134785
5.7%
9 43356
 
1.8%
ValueCountFrequency (%)
9 43356
 
1.8%
4 134785
5.7%
3 89049
3.7%
2 86370
3.6%
1 152907
6.4%

_PAINDEX
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean2.076164883
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.646183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.087470777
Coefficient of variation (CV)1.005445567
Kurtosis6.629056365
Mean2.076164883
Median Absolute Deviation (MAD)1
Skewness2.827233565
Sum1051509
Variance4.357534246
MonotonicityNot monotonic
2025-05-10T13:45:20.676120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 242482
 
10.2%
2 223834
 
9.4%
9 40151
 
1.7%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 242482
10.2%
2 223834
9.4%
9 40151
 
1.7%
ValueCountFrequency (%)
9 40151
 
1.7%
2 223834
9.4%
1 242482
10.2%

_PA150R1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean2.342292785
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.705042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.124217313
Coefficient of variation (CV)0.9068965786
Kurtosis4.728755018
Mean2.342292785
Median Absolute Deviation (MAD)1
Skewness2.32712099
Sum1186294
Variance4.512299192
MonotonicityNot monotonic
2025-05-10T13:45:20.736974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 242482
 
10.2%
3 134785
 
5.7%
2 89049
 
3.7%
9 40151
 
1.7%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 242482
10.2%
2 89049
 
3.7%
3 134785
5.7%
9 40151
 
1.7%
ValueCountFrequency (%)
9 40151
 
1.7%
3 134785
5.7%
2 89049
 
3.7%
1 242482
10.2%

_PA300R1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean2.563452308
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.768175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.108364741
Coefficient of variation (CV)0.8224708274
Kurtosis4.529422708
Mean2.563452308
Median Absolute Deviation (MAD)1
Skewness2.308332843
Sum1298304
Variance4.445201879
MonotonicityNot monotonic
2025-05-10T13:45:20.798985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 175419
 
7.4%
1 152907
 
6.4%
3 134785
 
5.7%
9 43356
 
1.8%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 152907
6.4%
2 175419
7.4%
3 134785
5.7%
9 43356
 
1.8%
ValueCountFrequency (%)
9 43356
 
1.8%
3 134785
5.7%
2 175419
7.4%
1 152907
6.4%

_PA3002L
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean2.297324406
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.829480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.099559622
Coefficient of variation (CV)0.9139151685
Kurtosis5.935923611
Mean2.297324406
Median Absolute Deviation (MAD)0
Skewness2.712261322
Sum1163519
Variance4.408150605
MonotonicityNot monotonic
2025-05-10T13:45:20.858853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 310204
 
13.0%
1 152907
 
6.4%
9 43356
 
1.8%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 152907
6.4%
2 310204
13.0%
9 43356
 
1.8%
ValueCountFrequency (%)
9 43356
 
1.8%
2 310204
13.0%
1 152907
6.4%

_PAREC
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean3.2543838
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.888473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.111180455
Coefficient of variation (CV)0.648718954
Kurtosis2.090290289
Mean3.2543838
Median Absolute Deviation (MAD)1
Skewness1.51826422
Sum1648238
Variance4.457082913
MonotonicityNot monotonic
2025-05-10T13:45:20.921048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 187759
 
7.9%
2 153772
 
6.5%
1 86219
 
3.6%
9 44548
 
1.9%
3 34169
 
1.4%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 86219
3.6%
2 153772
6.5%
3 34169
 
1.4%
4 187759
7.9%
9 44548
 
1.9%
ValueCountFrequency (%)
9 44548
 
1.9%
4 187759
7.9%
3 34169
 
1.4%
2 153772
6.5%
1 86219
3.6%

_PASTAER
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing1873580
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean2.445472262
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-10T13:45:20.951168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.069240942
Coefficient of variation (CV)0.8461518758
Kurtosis5.897436283
Mean2.445472262
Median Absolute Deviation (MAD)0
Skewness2.730140603
Sum1238551
Variance4.281758074
MonotonicityNot monotonic
2025-05-10T13:45:20.981655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 375700
 
15.8%
1 86219
 
3.6%
9 44548
 
1.9%
(Missing) 1873580
78.7%
ValueCountFrequency (%)
1 86219
 
3.6%
2 375700
15.8%
9 44548
 
1.9%
ValueCountFrequency (%)
9 44548
 
1.9%
2 375700
15.8%
1 86219
 
3.6%